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image | question
string | answer
string | scenario
string | ego_length
float32 | ego_width
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Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20029. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20029",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -5.52,
"lateral": 16.19
},
{
"frame": 2,
"longitudinal": -5.44,
"lateral": 14.55
},
{
"frame": 3,
"longitudinal": -5.42,
"lateral": 13.24
},
{
"frame": 4,
"longitudinal": -5.37,
"lateral": 12.35
},
{
"frame": 5,
"longitudinal": 7.31,
"lateral": 10.03
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 7.31,
"Lateral": 10.03
},
"time_to_collision": {
"Longitudinal": 3.71,
"Lateral": 18.78
}
},
"velocity_last": {
"Longitudinal": -1.97,
"Lateral": -0.53
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.31m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 10.03m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 3.71s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 18.78s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 20029 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 7.31m > 5.0m), lat_dsc = 5 (Negligible Risk: 10.03m > 5.0m). Relative Velocity: longitudinal -1.97 m/s, lateral -0.53 m/s. So Longitudinal time_to_collision is 3.71, and Lateral time_to_collision is 18.78 long_tsc = 4 (Low Risk: 3.0s < TTC = 3.71s \u2264 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 18.78s > 5.0s) so the weighted ttc_risk_scores is 4.5 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
}
|
DEU_Memmingen-129_1_T-3
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3192. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3192",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -13.72,
"lateral": -3.34
},
{
"frame": 2,
"longitudinal": -13.78,
"lateral": -2.26
},
{
"frame": 3,
"longitudinal": -13.86,
"lateral": -0.85
},
{
"frame": 4,
"longitudinal": -13.79,
"lateral": 0.42
},
{
"frame": 5,
"longitudinal": -13.7,
"lateral": 0.39
}
],
"final_rel_position": {
"relative_direction": "Rear-left",
"distance_to_collision": {
"Longitudinal": -13.7,
"Lateral": 0.39
},
"time_to_collision": {
"Longitudinal": 92.04,
"Lateral": 8.45
}
},
"velocity_last": {
"Longitudinal": 0.15,
"Lateral": -0.05
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 1,
"weighted": 3.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 13.70m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 1 (Extreme Risk: 0.3m \u2264 0.39m < 0.8m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 92.04s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 8.45s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 1 = 3.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 3192 is Rear-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 13.70m > 5.0m), lat_dsc = 1 (Extreme Risk: 0.3m \u2264 0.39m < 0.8m). Relative Velocity: longitudinal 0.15 m/s, lateral -0.05 m/s. So Longitudinal time_to_collision is 92.04, and Lateral time_to_collision is 8.45 long_tsc = 5 (Negligible Risk: TTC = 92.04s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 8.45s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 1 = 3.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
}
|
USA_Austin-25_28_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3599. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3599",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -3.52,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -2.88,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -2.13,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -1.05,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -0.25,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -0.25,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 0.43,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 0.58,
"Lateral": 0.16
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Collision Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 0,
"weighted": 0.0
},
"ttc_risk_scores": {
"longitudinal": 1,
"lateral": 0,
"weighted": 0.5
},
"overall_risk_score": 0
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.25m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 1 (Extreme Risk: 0.15s \u2264 TTC = 0.43s \u2264 0.65s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 0 + 0.5 * 0 = 0.0; TSC = 0.5 * 1 + 0.5 * 0 = 0.5; Risk = floor((0.0 + 0.5) / 2) = 0"
},
"reasoning_summary": "Agent Obstacle 3599 is Behind so the dominant_weight is 0.5, with long_dsc = 0 (Collision Risk: 0.25m < 0.3m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 0.58 m/s, lateral 0.16 m/s. So Longitudinal time_to_collision is 0.43, and Lateral time_to_collision is 0.0 long_tsc = 1 (Extreme Risk: 0.15s \u2264 TTC = 0.43s \u2264 0.65s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 0.5 Overall risk assessment is Collision Risk (score 0), since DSC = 0.5 * 0 + 0.5 * 0 = 0.0; TSC = 0.5 * 1 + 0.5 * 0 = 0.5; Risk = floor((0.0 + 0.5) / 2) = 0"
}
|
ESP_Vigo-59_17_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30780. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30780",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -11.02,
"lateral": -4.85
},
{
"frame": 2,
"longitudinal": -9.9,
"lateral": -4.71
},
{
"frame": 3,
"longitudinal": -8.69,
"lateral": -4.79
},
{
"frame": 4,
"longitudinal": -7.74,
"lateral": -4.32
},
{
"frame": 5,
"longitudinal": -6.15,
"lateral": -5.07
}
],
"final_rel_position": {
"relative_direction": "Rear-right",
"distance_to_collision": {
"Longitudinal": -6.15,
"Lateral": -5.07
},
"time_to_collision": {
"Longitudinal": 2.61,
"Lateral": 47.94
}
},
"velocity_last": {
"Longitudinal": 2.36,
"Lateral": 0.11
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 6.15m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 5.07m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.61s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 47.94s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30780 is Rear-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 6.15m > 5.0m), lat_dsc = 5 (Negligible Risk: 5.07m > 5.0m). Relative Velocity: longitudinal 2.36 m/s, lateral 0.11 m/s. So Longitudinal time_to_collision is 2.61, and Lateral time_to_collision is 47.94 long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.61s \u2264 3.0s) and lat_tsc = 5 (Negligible Risk: TTC = 47.94s > 5.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
}
|
ESP_Barcelona-20_43_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30801. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30801",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -2.17,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -1.91,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -2.16,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -2.83,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -3.73,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -3.73,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": -1.97,
"Lateral": 0.27
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 3.73m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.0 + 2.5) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 30801 is Behind so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 3.73m < 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal -1.97 m/s, lateral 0.27 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.5 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.0 + 2.5) / 2) = 2"
}
|
DEU_Nuremberg-6_25_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30263. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30263",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -19.35,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -18.26,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -16.73,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -15.04,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -13.22,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -13.22,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 3.65,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 3.63,
"Lateral": 0.01
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 13.22m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 3.65s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 4 + 0.5 * 0 = 2.0; Risk = floor((2.5 + 2.0) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 30263 is Behind so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 13.22m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 3.63 m/s, lateral 0.01 m/s. So Longitudinal time_to_collision is 3.65, and Lateral time_to_collision is 0.0 long_tsc = 4 (Low Risk: 3.0s < TTC = 3.65s \u2264 5.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.0 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 4 + 0.5 * 0 = 2.0; Risk = floor((2.5 + 2.0) / 2) = 2"
}
|
BEL_Brussels-11_24_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20027. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20027",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -22.95,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -19.63,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -15.77,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -11.94,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -8.52,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -8.52,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 1.34,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 6.36,
"Lateral": 0.01
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 0,
"weighted": 1.5
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 8.52m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 1.34s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 3 + 0.5 * 0 = 1.5; Risk = floor((2.5 + 1.5) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 20027 is Behind so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 8.52m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 6.36 m/s, lateral 0.01 m/s. So Longitudinal time_to_collision is 1.34, and Lateral time_to_collision is 0.0 long_tsc = 3 (Medium Risk: 1.15s < TTC = 1.34s \u2264 3.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 1.5 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 3 + 0.5 * 0 = 1.5; Risk = floor((2.5 + 1.5) / 2) = 2"
}
|
GRC_NeaSmyrni-1_1_T-4
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30706. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30706",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 4,
"longitudinal": 32.83,
"lateral": -1.89
},
{
"frame": 5,
"longitudinal": 32.55,
"lateral": -1.9
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 32.55,
"Lateral": -1.9
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 217.03
}
},
"velocity_last": {
"Longitudinal": 1.44,
"Lateral": 0.01
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 32.55m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.90m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 217.03s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30706 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 32.55m > 5.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.90m < 3.0m). Relative Velocity: longitudinal 1.44 m/s, lateral 0.01 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 217.03 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = 217.03s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
}
|
ESP_Barcelona-26_41_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20019. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20019",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 5,
"longitudinal": 30.32,
"lateral": 18.91
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 30.32,
"Lateral": 18.91
},
"time_to_collision": {
"Longitudinal": 4.46,
"Lateral": 1.37
}
},
"velocity_last": {
"Longitudinal": -6.8,
"Lateral": -13.82
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 3,
"weighted": 3.5
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 30.32m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 18.91m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 4.46s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 3 (Medium Risk: 1.15s < TTC = 1.37s \u2264 3.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 3 = 3.5; Risk = floor((5.0 + 3.5) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 20019 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 30.32m > 5.0m), lat_dsc = 5 (Negligible Risk: 18.91m > 5.0m). Relative Velocity: longitudinal -6.80 m/s, lateral -13.82 m/s. So Longitudinal time_to_collision is 4.46, and Lateral time_to_collision is 1.37 long_tsc = 4 (Low Risk: 3.0s < TTC = 4.46s \u2264 5.0s) and lat_tsc = 3 (Medium Risk: 1.15s < TTC = 1.37s \u2264 3.0s) so the weighted ttc_risk_scores is 3.5 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 3 = 3.5; Risk = floor((5.0 + 3.5) / 2) = 4"
}
|
DEU_Memmingen-178_1_T-6
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20038. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20038",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -5.66,
"lateral": 30.23
},
{
"frame": 2,
"longitudinal": -6.15,
"lateral": 30.36
},
{
"frame": 3,
"longitudinal": -6.24,
"lateral": 30.59
},
{
"frame": 4,
"longitudinal": -6.58,
"lateral": 30.72
},
{
"frame": 5,
"longitudinal": -7.2,
"lateral": 30.71
}
],
"final_rel_position": {
"relative_direction": "Rear-left",
"distance_to_collision": {
"Longitudinal": -7.2,
"Lateral": 30.71
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -1.11,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Rear-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.20m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 30.71m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 20038 is Rear-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 7.20m > 5.0m), lat_dsc = 5 (Negligible Risk: 30.71m > 5.0m). Relative Velocity: longitudinal -1.11 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_Schwetzingen-96_1_T-2
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20055. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20055",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -1.14,
"lateral": -11.18
},
{
"frame": 2,
"longitudinal": -0.31,
"lateral": -11.25
},
{
"frame": 3,
"longitudinal": -0.08,
"lateral": -10.86
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": -10.3
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": -9.56
}
],
"final_rel_position": {
"relative_direction": "Right",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": -9.56
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": 5.77
}
},
"velocity_last": {
"Longitudinal": 0.97,
"Lateral": 1.66
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 9.56m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 5.77s > 5.0s)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 20055 is Right so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 5 (Negligible Risk: 9.56m > 5.0m). Relative Velocity: longitudinal 0.97 m/s, lateral 1.66 m/s. So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is 5.77 long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = 5.77s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_Memmingen-192_1_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30767. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30767",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 15.77,
"lateral": 4.6
},
{
"frame": 2,
"longitudinal": 13.63,
"lateral": 5.96
},
{
"frame": 3,
"longitudinal": 11.87,
"lateral": 6.51
},
{
"frame": 4,
"longitudinal": 10.7,
"lateral": 6.31
},
{
"frame": 5,
"longitudinal": 8.9,
"lateral": 7.21
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 8.9,
"Lateral": 7.21
},
"time_to_collision": {
"Longitudinal": 3.12,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -2.85,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 8.90m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 7.21m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 3.12s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30767 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 8.90m > 5.0m), lat_dsc = 5 (Negligible Risk: 7.21m > 5.0m). Relative Velocity: longitudinal -2.85 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 3.12, and Lateral time_to_collision is Infinity long_tsc = 4 (Low Risk: 3.0s < TTC = 3.12s \u2264 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 4.5 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
}
|
ESP_Barcelona-10_18_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30693. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30693",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -35.58,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -33.8,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -33.06,
"lateral": 0.32
},
{
"frame": 4,
"longitudinal": -33.13,
"lateral": 2.2
},
{
"frame": 5,
"longitudinal": -33.11,
"lateral": 6.7
}
],
"final_rel_position": {
"relative_direction": "Rear-left",
"distance_to_collision": {
"Longitudinal": -33.11,
"Lateral": 6.7
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 12.27
}
},
"velocity_last": {
"Longitudinal": -1.92,
"Lateral": -0.55
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Rear-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 33.11m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 6.70m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 12.27s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30693 is Rear-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 33.11m > 5.0m), lat_dsc = 5 (Negligible Risk: 6.70m > 5.0m). Relative Velocity: longitudinal -1.92 m/s, lateral -0.55 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 12.27 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = 12.27s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-36_37_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30694. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30694",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 2,
"longitudinal": 21.71,
"lateral": 2.46
},
{
"frame": 3,
"longitudinal": 16.55,
"lateral": 0.77
},
{
"frame": 4,
"longitudinal": 12.62,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": 9.47,
"lateral": -1.82
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 9.47,
"Lateral": -1.82
},
"time_to_collision": {
"Longitudinal": 1.89,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -5.01,
"Lateral": -6.62
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 9.47m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.82m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 1.89s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30694 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 9.47m > 5.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.82m < 3.0m). Relative Velocity: longitudinal -5.01 m/s, lateral -6.62 m/s. So Longitudinal time_to_collision is 1.89, and Lateral time_to_collision is Infinity long_tsc = 3 (Medium Risk: 1.15s < TTC = 1.89s \u2264 3.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.0 + 4.0) / 2) = 4"
}
|
ESP_Barcelona-12_43_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30693. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30693",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -8.41,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -7.76,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -6.86,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -5.76,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -4.64,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -4.64,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 2.13,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 2.18,
"Lateral": 0.02
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Extreme Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 0,
"weighted": 1.5
},
"overall_risk_score": 1
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 4.64m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.13s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 3 + 0.5 * 0 = 1.5; Risk = floor((2.0 + 1.5) / 2) = 1"
},
"reasoning_summary": "Agent Obstacle 30693 is Behind so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 4.64m < 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 2.18 m/s, lateral 0.02 m/s. So Longitudinal time_to_collision is 2.13, and Lateral time_to_collision is 0.0 long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.13s \u2264 3.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 1.5 Overall risk assessment is Extreme Risk (score 1), since DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 3 + 0.5 * 0 = 1.5; Risk = floor((2.0 + 1.5) / 2) = 1"
}
|
DEU_Hanover-38_15_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3384. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3384",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -28.71,
"lateral": 1.8
},
{
"frame": 2,
"longitudinal": -26.46,
"lateral": 1.07
},
{
"frame": 3,
"longitudinal": -23.4,
"lateral": -0.24
},
{
"frame": 4,
"longitudinal": -19.61,
"lateral": -4.69
},
{
"frame": 5,
"longitudinal": -17.71,
"lateral": -1.26
}
],
"final_rel_position": {
"relative_direction": "Rear-right",
"distance_to_collision": {
"Longitudinal": -17.71,
"Lateral": -1.26
},
"time_to_collision": {
"Longitudinal": 5.63,
"Lateral": 0.51
}
},
"velocity_last": {
"Longitudinal": 3.15,
"Lateral": 2.46
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Medium Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 2,
"weighted": 3.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 1,
"weighted": 3.0
},
"overall_risk_score": 3
},
"explanations": {
"dominant_weight_explanation": "Rear-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 17.71m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 2 (High Risk: 0.8m \u2264 1.26m < 1.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 5.63s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 1 (Extreme Risk: 0.15s \u2264 TTC = 0.51s \u2264 0.65s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 2 = 3.5; TSC = 0.5 * 5 + 0.5 * 1 = 3.0; Risk = floor((3.5 + 3.0) / 2) = 3"
},
"reasoning_summary": "Agent Obstacle 3384 is Rear-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 17.71m > 5.0m), lat_dsc = 2 (High Risk: 0.8m \u2264 1.26m < 1.3m). Relative Velocity: longitudinal 3.15 m/s, lateral 2.46 m/s. So Longitudinal time_to_collision is 5.63, and Lateral time_to_collision is 0.51 long_tsc = 5 (Negligible Risk: TTC = 5.63s > 5.0s) and lat_tsc = 1 (Extreme Risk: 0.15s \u2264 TTC = 0.51s \u2264 0.65s) so the weighted ttc_risk_scores is 3.0 Overall risk assessment is Medium Risk (score 3), since DSC = 0.5 * 5 + 0.5 * 2 = 3.5; TSC = 0.5 * 5 + 0.5 * 1 = 3.0; Risk = floor((3.5 + 3.0) / 2) = 3"
}
|
DEU_Leipzig-2_7_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30295. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30295",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": -1.81
},
{
"frame": 2,
"longitudinal": 1.07,
"lateral": -1.77
},
{
"frame": 3,
"longitudinal": 2.96,
"lateral": -1.55
},
{
"frame": 4,
"longitudinal": 4.63,
"lateral": -1.28
},
{
"frame": 5,
"longitudinal": 5.93,
"lateral": -1.04
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 5.93,
"Lateral": -1.04
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 2.02
}
},
"velocity_last": {
"Longitudinal": 2.31,
"Lateral": 0.51
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Medium Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 2,
"weighted": 3.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"overall_risk_score": 3
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 5.93m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 2 (High Risk: 0.8m \u2264 1.04m < 1.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 3 (Medium Risk: 1.15s < TTC = 2.02s \u2264 3.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 2 = 3.5; TSC = 0.5 * 5 + 0.5 * 3 = 4.0; Risk = floor((3.5 + 4.0) / 2) = 3"
},
"reasoning_summary": "Agent Obstacle 30295 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 5.93m > 5.0m), lat_dsc = 2 (High Risk: 0.8m \u2264 1.04m < 1.3m). Relative Velocity: longitudinal 2.31 m/s, lateral 0.51 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 2.02 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 3 (Medium Risk: 1.15s < TTC = 2.02s \u2264 3.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Medium Risk (score 3), since DSC = 0.5 * 5 + 0.5 * 2 = 3.5; TSC = 0.5 * 5 + 0.5 * 3 = 4.0; Risk = floor((3.5 + 4.0) / 2) = 3"
}
|
DEU_Bremen-9_17_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30806. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30806",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -19.86,
"lateral": -1.89
},
{
"frame": 2,
"longitudinal": -19.53,
"lateral": -1.89
},
{
"frame": 3,
"longitudinal": -18.43,
"lateral": -1.89
},
{
"frame": 4,
"longitudinal": -16.7,
"lateral": -1.89
},
{
"frame": 5,
"longitudinal": -14.48,
"lateral": -1.89
}
],
"final_rel_position": {
"relative_direction": "Rear-right",
"distance_to_collision": {
"Longitudinal": -14.48,
"Lateral": -1.89
},
"time_to_collision": {
"Longitudinal": 2.9,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 4.99,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 14.48m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.89m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.90s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30806 is Rear-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 14.48m > 5.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.89m < 3.0m). Relative Velocity: longitudinal 4.99 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 2.9, and Lateral time_to_collision is Infinity long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.90s \u2264 3.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.0 + 4.0) / 2) = 4"
}
|
ESP_Barcelona-7_51_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3320. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3320",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 12.44,
"lateral": 25.15
},
{
"frame": 2,
"longitudinal": 11.01,
"lateral": 23.99
},
{
"frame": 3,
"longitudinal": 9.73,
"lateral": 23.21
},
{
"frame": 4,
"longitudinal": 8.7,
"lateral": 22.51
},
{
"frame": 5,
"longitudinal": 7.14,
"lateral": 22.18
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 7.14,
"Lateral": 22.18
},
"time_to_collision": {
"Longitudinal": 2.39,
"Lateral": 43.05
}
},
"velocity_last": {
"Longitudinal": -2.99,
"Lateral": -0.52
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.14m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 22.18m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.39s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 43.05s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 3320 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 7.14m > 5.0m), lat_dsc = 5 (Negligible Risk: 22.18m > 5.0m). Relative Velocity: longitudinal -2.99 m/s, lateral -0.52 m/s. So Longitudinal time_to_collision is 2.39, and Lateral time_to_collision is 43.05 long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.39s \u2264 3.0s) and lat_tsc = 5 (Negligible Risk: TTC = 43.05s > 5.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
}
|
USA_Austin-52_45_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30714. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30714",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 24.1,
"lateral": 17.36
},
{
"frame": 2,
"longitudinal": 18.86,
"lateral": 22.02
},
{
"frame": 3,
"longitudinal": 19.07,
"lateral": 20.79
},
{
"frame": 4,
"longitudinal": 19.63,
"lateral": 19.54
},
{
"frame": 5,
"longitudinal": 19.96,
"lateral": 18.72
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 19.96,
"Lateral": 18.72
},
"time_to_collision": {
"Longitudinal": 56.19,
"Lateral": 45.85
}
},
"velocity_last": {
"Longitudinal": -0.36,
"Lateral": -0.41
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 19.96m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 18.72m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 56.19s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 45.85s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30714 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 19.96m > 5.0m), lat_dsc = 5 (Negligible Risk: 18.72m > 5.0m). Relative Velocity: longitudinal -0.36 m/s, lateral -0.41 m/s. So Longitudinal time_to_collision is 56.19, and Lateral time_to_collision is 45.85 long_tsc = 5 (Negligible Risk: TTC = 56.19s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 45.85s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-10_33_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3187. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3187",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 5.9,
"lateral": 29.76
},
{
"frame": 2,
"longitudinal": 4.75,
"lateral": 29.21
},
{
"frame": 3,
"longitudinal": 3.69,
"lateral": 28.65
},
{
"frame": 4,
"longitudinal": 1.5,
"lateral": 28.16
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": 27.45
}
],
"final_rel_position": {
"relative_direction": "Left",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": 27.45
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": 14.49
}
},
"velocity_last": {
"Longitudinal": -1.78,
"Lateral": -1.89
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 27.45m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 14.49s > 5.0s)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 3187 is Left so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 5 (Negligible Risk: 27.45m > 5.0m). Relative Velocity: longitudinal -1.78 m/s, lateral -1.89 m/s. So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is 14.49 long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = 14.49s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
USA_Austin-57_17_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3567. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3567",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -3.06,
"lateral": 9.94
},
{
"frame": 2,
"longitudinal": -8.48,
"lateral": 7.15
},
{
"frame": 3,
"longitudinal": -12.0,
"lateral": 3.8
},
{
"frame": 4,
"longitudinal": -14.64,
"lateral": 0.87
},
{
"frame": 5,
"longitudinal": -16.32,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -16.32,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": -2.44,
"Lateral": -0.63
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 16.32m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.5 + 2.5) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 3567 is Behind so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 16.32m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal -2.44 m/s, lateral -0.63 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.5 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.5 + 2.5) / 2) = 2"
}
|
ESP_Vigo-56_57_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30797. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30797",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": -5.26
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": -5.36
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": -5.39
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": -5.52
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": -5.24
}
],
"final_rel_position": {
"relative_direction": "Right",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": -5.24
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -1.14,
"Lateral": -0.01
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 5.24m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30797 is Right so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 5 (Negligible Risk: 5.24m > 5.0m). Relative Velocity: longitudinal -1.14 m/s, lateral -0.01 m/s. So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is Infinity long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-15_16_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3337. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3337",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": -5.39
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": -5.39
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": -5.39
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": -5.38
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": -5.38
}
],
"final_rel_position": {
"relative_direction": "Right",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": -5.38
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 0.0,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 5.38m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 3337 is Right so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 5 (Negligible Risk: 5.38m > 5.0m). So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is Infinity long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
USA_Austin-77_20_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30288. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30288",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -13.66,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -14.26,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -13.86,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -12.77,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -11.46,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -11.46,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 4.08,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 2.81,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 11.46m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 4.08s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 4 + 0.5 * 0 = 2.0; Risk = floor((2.5 + 2.0) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 30288 is Behind so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 11.46m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 2.81 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 4.08, and Lateral time_to_collision is 0.0 long_tsc = 4 (Low Risk: 3.0s < TTC = 4.08s \u2264 5.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.0 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 4 + 0.5 * 0 = 2.0; Risk = floor((2.5 + 2.0) / 2) = 2"
}
|
DEU_Aschaffenburg-21_21_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30193. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30193",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 9.19,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": 9.52,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": 9.06,
"lateral": 4.08
},
{
"frame": 4,
"longitudinal": 6.48,
"lateral": 9.75
},
{
"frame": 5,
"longitudinal": 3.38,
"lateral": 14.12
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 3.38,
"Lateral": 14.12
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 1.31,
"Lateral": 4.07
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 3.38m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 14.12m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 5 = 4.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.5 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30193 is Front-left so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 3.38m < 5.0m), lat_dsc = 5 (Negligible Risk: 14.12m > 5.0m). Relative Velocity: longitudinal 1.31 m/s, lateral 4.07 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 4 + 0.5 * 5 = 4.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.5 + 5.0) / 2) = 4"
}
|
BEL_Brussels-51_2_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30739. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30739",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.49,
"lateral": -2.08
},
{
"frame": 2,
"longitudinal": 1.07,
"lateral": -2.19
},
{
"frame": 3,
"longitudinal": 2.08,
"lateral": -2.16
},
{
"frame": 4,
"longitudinal": 3.02,
"lateral": -2.34
},
{
"frame": 5,
"longitudinal": 3.53,
"lateral": -3.29
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 3.53,
"Lateral": -3.29
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 1.48,
"Lateral": -1.27
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 4,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 3.53m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 4 (Low Risk: 3.0m \u2264 3.29m < 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 4 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30739 is Front-right so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 3.53m < 5.0m), lat_dsc = 4 (Low Risk: 3.0m \u2264 3.29m < 5.0m). Relative Velocity: longitudinal 1.48 m/s, lateral -1.27 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 4 + 0.5 * 4 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
}
|
ESP_Barcelona-10_18_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30680. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30680",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 6.22,
"lateral": 15.36
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": 15.88
},
{
"frame": 3,
"longitudinal": -3.3,
"lateral": 16.63
},
{
"frame": 4,
"longitudinal": -10.61,
"lateral": 18.36
},
{
"frame": 5,
"longitudinal": -5.52,
"lateral": 27.64
}
],
"final_rel_position": {
"relative_direction": "Rear-left",
"distance_to_collision": {
"Longitudinal": -5.52,
"Lateral": 27.64
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -12.93,
"Lateral": 8.34
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Rear-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 5.52m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 27.64m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30680 is Rear-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 5.52m > 5.0m), lat_dsc = 5 (Negligible Risk: 27.64m > 5.0m). Relative Velocity: longitudinal -12.93 m/s, lateral 8.34 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_Kiel-2_34_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30769. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30769",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 5.99,
"lateral": -29.08
},
{
"frame": 2,
"longitudinal": 5.98,
"lateral": -25.68
},
{
"frame": 3,
"longitudinal": 6.29,
"lateral": -21.74
},
{
"frame": 4,
"longitudinal": 6.14,
"lateral": -17.92
},
{
"frame": 5,
"longitudinal": 6.0,
"lateral": -14.85
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 6.0,
"Lateral": -14.85
},
"time_to_collision": {
"Longitudinal": 47.92,
"Lateral": 2.77
}
},
"velocity_last": {
"Longitudinal": -0.13,
"Lateral": 5.37
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 6.00m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 14.85m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 47.92s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 3 (Medium Risk: 1.15s < TTC = 2.77s \u2264 3.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 3 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30769 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 6.00m > 5.0m), lat_dsc = 5 (Negligible Risk: 14.85m > 5.0m). Relative Velocity: longitudinal -0.13 m/s, lateral 5.37 m/s. So Longitudinal time_to_collision is 47.92, and Lateral time_to_collision is 2.77 long_tsc = 5 (Negligible Risk: TTC = 47.92s > 5.0s) and lat_tsc = 3 (Medium Risk: 1.15s < TTC = 2.77s \u2264 3.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 3 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
}
|
ESP_Barcelona-38_30_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30539. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30539",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -3.96,
"lateral": 0.02
},
{
"frame": 2,
"longitudinal": -5.26,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -6.43,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -7.43,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -8.38,
"lateral": -0.3
}
],
"final_rel_position": {
"relative_direction": "Rear-right",
"distance_to_collision": {
"Longitudinal": -8.38,
"Lateral": -0.3
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -1.9,
"Lateral": -0.89
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 1,
"weighted": 3.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 8.38m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 1 (Extreme Risk: 0.3m \u2264 0.30m < 0.8m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 1 = 3.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30539 is Rear-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 8.38m > 5.0m), lat_dsc = 1 (Extreme Risk: 0.3m \u2264 0.30m < 0.8m). Relative Velocity: longitudinal -1.90 m/s, lateral -0.89 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 1 = 3.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
}
|
DEU_Hanover-15_12_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 78. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 78",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 5,
"longitudinal": 21.61,
"lateral": -15.11
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 21.61,
"Lateral": -15.11
},
"time_to_collision": {
"Longitudinal": 13.04,
"Lateral": 2.97
}
},
"velocity_last": {
"Longitudinal": -1.66,
"Lateral": 5.09
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 21.61m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 15.11m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 13.04s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 3 (Medium Risk: 1.15s < TTC = 2.97s \u2264 3.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 3 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 78 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 21.61m > 5.0m), lat_dsc = 5 (Negligible Risk: 15.11m > 5.0m). Relative Velocity: longitudinal -1.66 m/s, lateral 5.09 m/s. So Longitudinal time_to_collision is 13.04, and Lateral time_to_collision is 2.97 long_tsc = 5 (Negligible Risk: TTC = 13.04s > 5.0s) and lat_tsc = 3 (Medium Risk: 1.15s < TTC = 2.97s \u2264 3.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 3 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
}
|
GRC_ArchaioLimani-48_1_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 363. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 363",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 15.18,
"lateral": 29.82
},
{
"frame": 2,
"longitudinal": 15.1,
"lateral": 29.18
},
{
"frame": 3,
"longitudinal": 14.0,
"lateral": 29.2
},
{
"frame": 4,
"longitudinal": 13.33,
"lateral": 28.96
},
{
"frame": 5,
"longitudinal": 12.96,
"lateral": 28.56
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 12.96,
"Lateral": 28.56
},
"time_to_collision": {
"Longitudinal": 6.13,
"Lateral": 1565180.0
}
},
"velocity_last": {
"Longitudinal": -2.11,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 12.96m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 28.56m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 6.13s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 1565180.00s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 363 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 12.96m > 5.0m), lat_dsc = 5 (Negligible Risk: 28.56m > 5.0m). Relative Velocity: longitudinal -2.11 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 6.13, and Lateral time_to_collision is 1565180.0 long_tsc = 5 (Negligible Risk: TTC = 6.13s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 1565180.00s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_Rheinbach-2_4_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30816. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30816",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -1.89,
"lateral": 1.92
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": 1.9
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": 1.89
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": 1.89
},
{
"frame": 5,
"longitudinal": 1.33,
"lateral": 1.89
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 1.33,
"Lateral": 1.89
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 8.76,
"Lateral": 0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 3,
"lateral": 3,
"weighted": 3.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 3 (Medium Risk: 1.3m \u2264 1.33m < 3.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.89m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 3 + 0.5 * 3 = 3.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30816 is Front-left so the dominant_weight is 0.5, with long_dsc = 3 (Medium Risk: 1.3m \u2264 1.33m < 3.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.89m < 3.0m). Relative Velocity: longitudinal 8.76 m/s, lateral 0.00 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 3 + 0.5 * 3 = 3.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
}
|
ESP_Barcelona-67_3_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30780. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30780",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 28.51,
"lateral": -2.76
},
{
"frame": 2,
"longitudinal": 25.19,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": 22.61,
"lateral": 3.68
},
{
"frame": 4,
"longitudinal": 20.67,
"lateral": 9.66
},
{
"frame": 5,
"longitudinal": 19.23,
"lateral": 15.67
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 19.23,
"Lateral": 15.67
},
"time_to_collision": {
"Longitudinal": 8.56,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -2.25,
"Lateral": 12.17
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 19.23m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 15.67m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 8.56s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30780 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 19.23m > 5.0m), lat_dsc = 5 (Negligible Risk: 15.67m > 5.0m). Relative Velocity: longitudinal -2.25 m/s, lateral 12.17 m/s. So Longitudinal time_to_collision is 8.56, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = 8.56s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-32_52_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30781. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30781",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 2,
"longitudinal": -16.82,
"lateral": 1.89
},
{
"frame": 3,
"longitudinal": -16.87,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -16.27,
"lateral": 2.27
},
{
"frame": 5,
"longitudinal": -16.09,
"lateral": 1.34
}
],
"final_rel_position": {
"relative_direction": "Rear-left",
"distance_to_collision": {
"Longitudinal": -16.09,
"Lateral": 1.34
},
"time_to_collision": {
"Longitudinal": 13.38,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 1.2,
"Lateral": 0.17
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 16.09m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.34m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 13.38s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30781 is Rear-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 16.09m > 5.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.34m < 3.0m). Relative Velocity: longitudinal 1.20 m/s, lateral 0.17 m/s. So Longitudinal time_to_collision is 13.38, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = 13.38s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
}
|
ESP_Barcelona-7_45_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20028. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20028",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 2,
"longitudinal": 37.26,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": 34.97,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": 33.42,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": 32.21,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Front",
"distance_to_collision": {
"Longitudinal": 32.21,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 14.68,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": -2.19,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 1.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front/Rear direction: wdominant = 1.0 (longitudinal focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 32.21m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 14.68s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 5 + 0.0 * 0 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 20028 is Front so the dominant_weight is 1.0, with long_dsc = 5 (Negligible Risk: 32.21m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal -2.19 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 14.68, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = 14.68s > 5.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 5 + 0.0 * 0 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
GRC_NeaSmyrni-117_1_T-3
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3262. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3262",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 5,
"longitudinal": 23.6,
"lateral": 9.61
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 23.6,
"Lateral": 9.61
},
"time_to_collision": {
"Longitudinal": 4.76,
"Lateral": 67.69
}
},
"velocity_last": {
"Longitudinal": -4.96,
"Lateral": -0.14
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 23.60m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 9.61m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 4.76s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 67.69s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 3262 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 23.60m > 5.0m), lat_dsc = 5 (Negligible Risk: 9.61m > 5.0m). Relative Velocity: longitudinal -4.96 m/s, lateral -0.14 m/s. So Longitudinal time_to_collision is 4.76, and Lateral time_to_collision is 67.69 long_tsc = 4 (Low Risk: 3.0s < TTC = 4.76s \u2264 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 67.69s > 5.0s) so the weighted ttc_risk_scores is 4.5 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
}
|
DEU_Leipzig-55_22_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30650. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30650",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": 1.77
},
{
"frame": 2,
"longitudinal": -0.26,
"lateral": 2.23
},
{
"frame": 3,
"longitudinal": -2.76,
"lateral": 3.11
},
{
"frame": 4,
"longitudinal": -5.08,
"lateral": 4.31
},
{
"frame": 5,
"longitudinal": -7.53,
"lateral": 4.85
}
],
"final_rel_position": {
"relative_direction": "Rear-left",
"distance_to_collision": {
"Longitudinal": -7.53,
"Lateral": 4.85
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -5.3,
"Lateral": 0.04
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 4,
"weighted": 4.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.53m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 4 (Low Risk: 3.0m \u2264 4.85m < 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 4 = 4.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.5 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30650 is Rear-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 7.53m > 5.0m), lat_dsc = 4 (Low Risk: 3.0m \u2264 4.85m < 5.0m). Relative Velocity: longitudinal -5.30 m/s, lateral 0.04 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 4 = 4.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.5 + 5.0) / 2) = 4"
}
|
CHN_Qingdao-7_1_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 12. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 12",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 5.99,
"lateral": -17.37
},
{
"frame": 2,
"longitudinal": 4.99,
"lateral": -13.42
},
{
"frame": 3,
"longitudinal": 4.3,
"lateral": -10.2
},
{
"frame": 4,
"longitudinal": 4.05,
"lateral": -7.71
},
{
"frame": 5,
"longitudinal": 4.28,
"lateral": -5.83
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 4.28,
"Lateral": -5.83
},
"time_to_collision": {
"Longitudinal": 2.96,
"Lateral": 7.37
}
},
"velocity_last": {
"Longitudinal": -1.44,
"Lateral": 0.79
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 4.28m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 5.83m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.96s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 7.37s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 5 = 4.5; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.5 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 12 is Front-right so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 4.28m < 5.0m), lat_dsc = 5 (Negligible Risk: 5.83m > 5.0m). Relative Velocity: longitudinal -1.44 m/s, lateral 0.79 m/s. So Longitudinal time_to_collision is 2.96, and Lateral time_to_collision is 7.37 long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.96s \u2264 3.0s) and lat_tsc = 5 (Negligible Risk: TTC = 7.37s > 5.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 4 + 0.5 * 5 = 4.5; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.5 + 4.0) / 2) = 4"
}
|
GRC_ArchaioLimani-102_1_T-5
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20017. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20017",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": 19.43
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": 19.43
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": 19.43
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": 19.43
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": 19.43
}
],
"final_rel_position": {
"relative_direction": "Left",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": 19.43
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -0.0,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 19.43m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 20017 is Left so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 5 (Negligible Risk: 19.43m > 5.0m). So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is Infinity long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_BadAibling-35_1_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20202. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20202",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 21.81,
"lateral": -18.46
},
{
"frame": 2,
"longitudinal": 22.29,
"lateral": -14.24
},
{
"frame": 3,
"longitudinal": 24.14,
"lateral": -5.96
},
{
"frame": 4,
"longitudinal": 23.86,
"lateral": -1.4
},
{
"frame": 5,
"longitudinal": 23.26,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Front",
"distance_to_collision": {
"Longitudinal": 23.26,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 20.54,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": -1.13,
"Lateral": 0.25
},
"risk_assessment": {
"dominant_weight": 1.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front/Rear direction: wdominant = 1.0 (longitudinal focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 23.26m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 20.54s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 5 + 0.0 * 0 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 20202 is Front so the dominant_weight is 1.0, with long_dsc = 5 (Negligible Risk: 23.26m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal -1.13 m/s, lateral 0.25 m/s. So Longitudinal time_to_collision is 20.54, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = 20.54s > 5.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 5 + 0.0 * 0 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_Salzwedel-41_1_T-16
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30733. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30733",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 16.17,
"lateral": 34.44
},
{
"frame": 2,
"longitudinal": 14.74,
"lateral": 32.06
},
{
"frame": 3,
"longitudinal": 13.1,
"lateral": 29.28
},
{
"frame": 4,
"longitudinal": 11.16,
"lateral": 26.17
},
{
"frame": 5,
"longitudinal": 9.89,
"lateral": 22.36
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 9.89,
"Lateral": 22.36
},
"time_to_collision": {
"Longitudinal": 2.6,
"Lateral": 3.27
}
},
"velocity_last": {
"Longitudinal": -3.8,
"Lateral": -6.85
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 4,
"weighted": 3.5
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 9.89m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 22.36m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.60s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 4 (Low Risk: 3.0s < TTC = 3.27s \u2264 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 3 + 0.5 * 4 = 3.5; Risk = floor((5.0 + 3.5) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30733 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 9.89m > 5.0m), lat_dsc = 5 (Negligible Risk: 22.36m > 5.0m). Relative Velocity: longitudinal -3.80 m/s, lateral -6.85 m/s. So Longitudinal time_to_collision is 2.6, and Lateral time_to_collision is 3.27 long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.60s \u2264 3.0s) and lat_tsc = 4 (Low Risk: 3.0s < TTC = 3.27s \u2264 5.0s) so the weighted ttc_risk_scores is 3.5 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 3 + 0.5 * 4 = 3.5; Risk = floor((5.0 + 3.5) / 2) = 4"
}
|
DEU_Hanover-16_46_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3656. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3656",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 6.71,
"lateral": -7.16
},
{
"frame": 2,
"longitudinal": 6.71,
"lateral": -7.16
},
{
"frame": 3,
"longitudinal": 6.71,
"lateral": -7.16
},
{
"frame": 4,
"longitudinal": 6.71,
"lateral": -7.16
},
{
"frame": 5,
"longitudinal": 6.71,
"lateral": -7.16
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 6.71,
"Lateral": -7.16
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -0.0,
"Lateral": 0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 6.71m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 7.16m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 3656 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 6.71m > 5.0m), lat_dsc = 5 (Negligible Risk: 7.16m > 5.0m). So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
USA_Phoenix-17_43_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20077. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20077",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 20.42,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": 18.04,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": 14.67,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": 10.99,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": 7.34,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Front",
"distance_to_collision": {
"Longitudinal": 7.34,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 1.06,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": -6.94,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 1.0,
"risk_level": "Medium Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 2,
"lateral": 0,
"weighted": 2.0
},
"overall_risk_score": 3
},
"explanations": {
"dominant_weight_explanation": "Front/Rear direction: wdominant = 1.0 (longitudinal focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.34m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 2 (High Risk: 0.65s < TTC = 1.06s \u2264 1.15s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 2 + 0.0 * 0 = 2.0; Risk = floor((5.0 + 2.0) / 2) = 3"
},
"reasoning_summary": "Agent Obstacle 20077 is Front so the dominant_weight is 1.0, with long_dsc = 5 (Negligible Risk: 7.34m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal -6.94 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 1.06, and Lateral time_to_collision is 0.0 long_tsc = 2 (High Risk: 0.65s < TTC = 1.06s \u2264 1.15s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.0 Overall risk assessment is Medium Risk (score 3), since DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 2 + 0.0 * 0 = 2.0; Risk = floor((5.0 + 2.0) / 2) = 3"
}
|
DEU_Schwetzingen-96_1_T-2
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30011. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30011",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 7.68,
"lateral": -9.18
},
{
"frame": 2,
"longitudinal": 12.58,
"lateral": -2.14
},
{
"frame": 3,
"longitudinal": 14.03,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": 15.37,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": 16.82,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Front",
"distance_to_collision": {
"Longitudinal": 16.82,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 2.92,
"Lateral": 0.04
},
"risk_assessment": {
"dominant_weight": 1.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front/Rear direction: wdominant = 1.0 (longitudinal focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 16.82m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 5 + 0.0 * 0 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30011 is Front so the dominant_weight is 1.0, with long_dsc = 5 (Negligible Risk: 16.82m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 2.92 m/s, lateral 0.04 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 1.0 * 5 + 0.0 * 0 = 5.0; TSC = 1.0 * 5 + 0.0 * 0 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
DEU_Bonn-51_3_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30299. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30299",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 11.5,
"lateral": 2.62
},
{
"frame": 2,
"longitudinal": 11.39,
"lateral": 2.42
},
{
"frame": 3,
"longitudinal": 10.4,
"lateral": 2.23
},
{
"frame": 4,
"longitudinal": 8.95,
"lateral": 1.93
},
{
"frame": 5,
"longitudinal": 7.44,
"lateral": 1.75
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 7.44,
"Lateral": 1.75
},
"time_to_collision": {
"Longitudinal": 2.39,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -3.11,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.44m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.75m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.39s \u2264 3.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30299 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 7.44m > 5.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.75m < 3.0m). Relative Velocity: longitudinal -3.11 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 2.39, and Lateral time_to_collision is Infinity long_tsc = 3 (Medium Risk: 1.15s < TTC = 2.39s \u2264 3.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 3 + 0.5 * 5 = 4.0; Risk = floor((4.0 + 4.0) / 2) = 4"
}
|
DEU_Bremen-1_10_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30659. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30659",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 14.3,
"lateral": 29.54
},
{
"frame": 2,
"longitudinal": 11.1,
"lateral": 28.59
},
{
"frame": 3,
"longitudinal": 11.8,
"lateral": 25.9
},
{
"frame": 4,
"longitudinal": 13.28,
"lateral": 23.23
},
{
"frame": 5,
"longitudinal": 10.13,
"lateral": 24.21
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 10.13,
"Lateral": 24.21
},
"time_to_collision": {
"Longitudinal": 6.47,
"Lateral": 46.08
}
},
"velocity_last": {
"Longitudinal": -1.57,
"Lateral": -0.53
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 10.13m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 24.21m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 6.47s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 46.08s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30659 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 10.13m > 5.0m), lat_dsc = 5 (Negligible Risk: 24.21m > 5.0m). Relative Velocity: longitudinal -1.57 m/s, lateral -0.53 m/s. So Longitudinal time_to_collision is 6.47, and Lateral time_to_collision is 46.08 long_tsc = 5 (Negligible Risk: TTC = 6.47s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 46.08s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
CHN_Qingdao-18_1_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30766. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30766",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -5.54,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -5.24,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -5.02,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -4.85,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -4.73,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -4.73,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 21.16,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 0.22,
"Lateral": 0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 4.73m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 21.16s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.0 + 2.5) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 30766 is Behind so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 4.73m < 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 0.22 m/s, lateral 0.00 m/s. So Longitudinal time_to_collision is 21.16, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = 21.16s > 5.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.5 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.0 + 2.5) / 2) = 2"
}
|
ESP_Barcelona-20_43_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 51. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 51",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 3,
"longitudinal": 10.1,
"lateral": 22.32
},
{
"frame": 4,
"longitudinal": 8.62,
"lateral": 20.41
},
{
"frame": 5,
"longitudinal": 7.39,
"lateral": 18.06
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 7.39,
"Lateral": 18.06
},
"time_to_collision": {
"Longitudinal": 3.89,
"Lateral": 3.48
}
},
"velocity_last": {
"Longitudinal": -1.9,
"Lateral": -5.19
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 4,
"weighted": 4.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 7.39m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 18.06m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 3.89s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 4 (Low Risk: 3.0s < TTC = 3.48s \u2264 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 4 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 51 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 7.39m > 5.0m), lat_dsc = 5 (Negligible Risk: 18.06m > 5.0m). Relative Velocity: longitudinal -1.90 m/s, lateral -5.19 m/s. So Longitudinal time_to_collision is 3.89, and Lateral time_to_collision is 3.48 long_tsc = 4 (Low Risk: 3.0s < TTC = 3.89s \u2264 5.0s) and lat_tsc = 4 (Low Risk: 3.0s < TTC = 3.48s \u2264 5.0s) so the weighted ttc_risk_scores is 4.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 4 = 4.0; Risk = floor((5.0 + 4.0) / 2) = 4"
}
|
DEU_Weimar-68_1_T-3
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30735. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30735",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 2.17,
"lateral": -8.93
},
{
"frame": 2,
"longitudinal": 1.78,
"lateral": -8.91
},
{
"frame": 3,
"longitudinal": 1.55,
"lateral": -8.92
},
{
"frame": 4,
"longitudinal": 1.39,
"lateral": -8.95
},
{
"frame": 5,
"longitudinal": 1.41,
"lateral": -8.91
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 1.41,
"Lateral": -8.91
},
"time_to_collision": {
"Longitudinal": 19.76,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -0.07,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 3,
"lateral": 5,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 3 (Medium Risk: 1.3m \u2264 1.41m < 3.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 8.91m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 19.76s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 3 + 0.5 * 5 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30735 is Front-right so the dominant_weight is 0.5, with long_dsc = 3 (Medium Risk: 1.3m \u2264 1.41m < 3.0m), lat_dsc = 5 (Negligible Risk: 8.91m > 5.0m). Relative Velocity: longitudinal -0.07 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 19.76, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = 19.76s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 3 + 0.5 * 5 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
}
|
ESP_Barcelona-10_29_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30234. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30234",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 2,
"longitudinal": 20.37,
"lateral": 13.38
},
{
"frame": 3,
"longitudinal": 18.11,
"lateral": 13.44
},
{
"frame": 4,
"longitudinal": 15.87,
"lateral": 13.59
},
{
"frame": 5,
"longitudinal": 13.87,
"lateral": 13.69
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 13.87,
"Lateral": 13.69
},
"time_to_collision": {
"Longitudinal": 3.77,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -3.67,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 13.87m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 13.69m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 3.77s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30234 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 13.87m > 5.0m), lat_dsc = 5 (Negligible Risk: 13.69m > 5.0m). Relative Velocity: longitudinal -3.67 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 3.77, and Lateral time_to_collision is Infinity long_tsc = 4 (Low Risk: 3.0s < TTC = 3.77s \u2264 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 4.5 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 4 + 0.5 * 5 = 4.5; Risk = floor((5.0 + 4.5) / 2) = 4"
}
|
DEU_Aschaffenburg-31_10_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30726. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30726",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 11.15,
"lateral": -3.38
},
{
"frame": 2,
"longitudinal": 10.32,
"lateral": -8.06
},
{
"frame": 3,
"longitudinal": 9.82,
"lateral": -13.22
},
{
"frame": 4,
"longitudinal": 9.51,
"lateral": -18.76
},
{
"frame": 5,
"longitudinal": 9.36,
"lateral": -24.71
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 9.36,
"Lateral": -24.71
},
"time_to_collision": {
"Longitudinal": 30.33,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -0.31,
"Lateral": -12.4
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 9.36m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 24.71m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 30.33s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30726 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 9.36m > 5.0m), lat_dsc = 5 (Negligible Risk: 24.71m > 5.0m). Relative Velocity: longitudinal -0.31 m/s, lateral -12.40 m/s. So Longitudinal time_to_collision is 30.33, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = 30.33s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-19_30_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30742. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30742",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -4.07,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -3.96,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -3.83,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -3.85,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -3.87,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -3.87,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": -0.32,
"Lateral": 0.05
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 3.87m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.0 + 2.5) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 30742 is Behind so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 3.87m < 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal -0.32 m/s, lateral 0.05 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 0.0 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.5 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 4 + 0.5 * 0 = 2.0; TSC = 0.5 * 5 + 0.5 * 0 = 2.5; Risk = floor((2.0 + 2.5) / 2) = 2"
}
|
ESP_Barcelona-10_27_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30683. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30683",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 2.08,
"lateral": -1.89
},
{
"frame": 2,
"longitudinal": 1.21,
"lateral": -1.89
},
{
"frame": 3,
"longitudinal": 0.01,
"lateral": -1.89
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": -1.89
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": -1.89
}
],
"final_rel_position": {
"relative_direction": "Right",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": -1.89
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -3.25,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 3,
"weighted": 3.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.89m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 3 = 3.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30683 is Right so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.89m < 3.0m). Relative Velocity: longitudinal -3.25 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is Infinity long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.0 * 0 + 1.0 * 3 = 3.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
}
|
DEU_Kiel-52_17_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30743. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30743",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": 25.94
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": 25.4
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": 25.39
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": 25.48
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": 25.47
}
],
"final_rel_position": {
"relative_direction": "Left",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": 25.47
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -0.05,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 25.47m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30743 is Left so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 5 (Negligible Risk: 25.47m > 5.0m). Relative Velocity: longitudinal -0.05 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is Infinity long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.0 * 0 + 1.0 * 5 = 5.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-44_7_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30689. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30689",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -8.73,
"lateral": 0.0
},
{
"frame": 2,
"longitudinal": -8.46,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": -7.82,
"lateral": 0.0
},
{
"frame": 4,
"longitudinal": -7.02,
"lateral": 0.0
},
{
"frame": 5,
"longitudinal": -6.16,
"lateral": 0.0
}
],
"final_rel_position": {
"relative_direction": "Behind",
"distance_to_collision": {
"Longitudinal": -6.16,
"Lateral": 0.0
},
"time_to_collision": {
"Longitudinal": 3.5,
"Lateral": 0.0
}
},
"velocity_last": {
"Longitudinal": 1.76,
"Lateral": 0.01
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "High Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 0,
"weighted": 2.5
},
"ttc_risk_scores": {
"longitudinal": 4,
"lateral": 0,
"weighted": 2.0
},
"overall_risk_score": 2
},
"explanations": {
"dominant_weight_explanation": "Behind direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 6.16m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"longitudinal_ttc_explanation": "long_tsc = 4 (Low Risk: 3.0s < TTC = 3.50s \u2264 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 4 + 0.5 * 0 = 2.0; Risk = floor((2.5 + 2.0) / 2) = 2"
},
"reasoning_summary": "Agent Obstacle 30689 is Behind so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 6.16m > 5.0m), lat_dsc = 0 (Collision Risk: 0.00m < 0.3m). Relative Velocity: longitudinal 1.76 m/s, lateral 0.01 m/s. So Longitudinal time_to_collision is 3.5, and Lateral time_to_collision is 0.0 long_tsc = 4 (Low Risk: 3.0s < TTC = 3.50s \u2264 5.0s) and lat_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) so the weighted ttc_risk_scores is 2.0 Overall risk assessment is High Risk (score 2), since DSC = 0.5 * 5 + 0.5 * 0 = 2.5; TSC = 0.5 * 4 + 0.5 * 0 = 2.0; Risk = floor((2.5 + 2.0) / 2) = 2"
}
|
DEU_Hanover-38_24_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 20032. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 20032",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": -19.94
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": -19.93
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": -19.95
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": -19.65
},
{
"frame": 5,
"longitudinal": -3.85,
"lateral": -17.96
}
],
"final_rel_position": {
"relative_direction": "Rear-right",
"distance_to_collision": {
"Longitudinal": -3.85,
"Lateral": -17.96
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 228.6
}
},
"velocity_last": {
"Longitudinal": -1.91,
"Lateral": 0.08
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 4,
"lateral": 5,
"weighted": 4.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Rear-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 4 (Low Risk: 3.0m \u2264 3.85m < 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 17.96m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 228.60s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 4 + 0.5 * 5 = 4.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.5 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 20032 is Rear-right so the dominant_weight is 0.5, with long_dsc = 4 (Low Risk: 3.0m \u2264 3.85m < 5.0m), lat_dsc = 5 (Negligible Risk: 17.96m > 5.0m). Relative Velocity: longitudinal -1.91 m/s, lateral 0.08 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 228.6 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = 228.60s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 4 + 0.5 * 5 = 4.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.5 + 5.0) / 2) = 4"
}
|
DEU_Goeppingen-86_1_T-5
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3680. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3680",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": -10.89,
"lateral": -7.23
},
{
"frame": 2,
"longitudinal": -10.85,
"lateral": -7.32
},
{
"frame": 3,
"longitudinal": -11.23,
"lateral": -7.29
},
{
"frame": 4,
"longitudinal": -11.6,
"lateral": -7.7
},
{
"frame": 5,
"longitudinal": -11.95,
"lateral": -7.71
}
],
"final_rel_position": {
"relative_direction": "Rear-right",
"distance_to_collision": {
"Longitudinal": -11.95,
"Lateral": -7.71
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": 1918.19
}
},
"velocity_last": {
"Longitudinal": -0.45,
"Lateral": 0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Rear-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 11.95m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 7.71m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 1918.19s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 3680 is Rear-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 11.95m > 5.0m), lat_dsc = 5 (Negligible Risk: 7.71m > 5.0m). Relative Velocity: longitudinal -0.45 m/s, lateral 0.00 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is 1918.19 long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = 1918.19s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
USA_Phoenix-67_27_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 3187. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 3187",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": -1.91
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": -1.87
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": -1.92
},
{
"frame": 4,
"longitudinal": 0.0,
"lateral": -1.91
},
{
"frame": 5,
"longitudinal": 0.0,
"lateral": -1.88
}
],
"final_rel_position": {
"relative_direction": "Right",
"distance_to_collision": {
"Longitudinal": 0.0,
"Lateral": -1.88
},
"time_to_collision": {
"Longitudinal": 0.0,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -0.01,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.0,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 0,
"lateral": 3,
"weighted": 3.0
},
"ttc_risk_scores": {
"longitudinal": 0,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Left/Right direction: wdominant = 0.0 (lateral focus)",
"longitudinal_distance_explanation": "long_dsc = 0 (Collision Risk: 0.00m < 0.3m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.88m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.0 * 0 + 1.0 * 3 = 3.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 3187 is Right so the dominant_weight is 0.0, with long_dsc = 0 (Collision Risk: 0.00m < 0.3m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 1.88m < 3.0m). Relative Velocity: longitudinal -0.01 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 0.0, and Lateral time_to_collision is Infinity long_tsc = 0 (Collision Risk: TTC = 0.00s < 0.15s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.0 * 0 + 1.0 * 3 = 3.0; TSC = 0.0 * 0 + 1.0 * 5 = 5.0; Risk = floor((3.0 + 5.0) / 2) = 4"
}
|
USA_Austin-25_14_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30790. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30790",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 24.55,
"lateral": 11.02
},
{
"frame": 2,
"longitudinal": 22.01,
"lateral": 11.02
},
{
"frame": 3,
"longitudinal": 19.79,
"lateral": 11.01
},
{
"frame": 4,
"longitudinal": 18.17,
"lateral": 11.02
},
{
"frame": 5,
"longitudinal": 16.79,
"lateral": 11.02
}
],
"final_rel_position": {
"relative_direction": "Front-left",
"distance_to_collision": {
"Longitudinal": 16.79,
"Lateral": 11.02
},
"time_to_collision": {
"Longitudinal": 6.37,
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": -2.64,
"Lateral": -0.0
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Negligible Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 5
},
"explanations": {
"dominant_weight_explanation": "Front-left direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 16.79m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 5 (Negligible Risk: 11.02m > 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 6.37s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
},
"reasoning_summary": "Agent Obstacle 30790 is Front-left so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 16.79m > 5.0m), lat_dsc = 5 (Negligible Risk: 11.02m > 5.0m). Relative Velocity: longitudinal -2.64 m/s, lateral -0.00 m/s. So Longitudinal time_to_collision is 6.37, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = 6.37s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Negligible Risk (score 5), since DSC = 0.5 * 5 + 0.5 * 5 = 5.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((5.0 + 5.0) / 2) = 5"
}
|
ESP_Barcelona-37_31_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 2,
"longitudinal": 29.53,
"lateral": 0.0
},
{
"frame": 3,
"longitudinal": 25.78,
"lateral": -3.88
},
{
"frame": 4,
"longitudinal": 23.9,
"lateral": -3.29
},
{
"frame": 5,
"longitudinal": 22.92,
"lateral": -2.66
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 22.92,
"Lateral": -2.66
},
"time_to_collision": {
"Longitudinal": 16.28,
"Lateral": 29.58
}
},
"velocity_last": {
"Longitudinal": -1.41,
"Lateral": 0.09
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 5,
"lateral": 3,
"weighted": 4.0
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 5 (Negligible Risk: 22.92m > 5.0m)",
"lateral_distance_explanation": "lat_dsc = 3 (Medium Risk: 1.3m \u2264 2.66m < 3.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = 16.28s > 5.0s)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = 29.58s > 5.0s)",
"overall_risk_explanation": "DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30 is Front-right so the dominant_weight is 0.5, with long_dsc = 5 (Negligible Risk: 22.92m > 5.0m), lat_dsc = 3 (Medium Risk: 1.3m \u2264 2.66m < 3.0m). Relative Velocity: longitudinal -1.41 m/s, lateral 0.09 m/s. So Longitudinal time_to_collision is 16.28, and Lateral time_to_collision is 29.58 long_tsc = 5 (Negligible Risk: TTC = 16.28s > 5.0s) and lat_tsc = 5 (Negligible Risk: TTC = 29.58s > 5.0s) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 5 + 0.5 * 3 = 4.0; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((4.0 + 5.0) / 2) = 4"
}
|
DEU_Weimar-34_1_T-1
| 4.7 | 1.8 |
|
Analyze the 5-frame sequence (left→right = early→late). Ego is the blue car. The ego vehicle dimensions are 4.7m length × 1.8m width. Provide the final-timestep risk analysis for agent id: Obstacle 30770. Return JSON only.
|
{
"ego_dimensions": {
"length": 4.7,
"width": 1.8,
"unit": "meters"
},
"agent_id": "Obstacle 30770",
"final_timestep": 5,
"per_timestep_distances": [
{
"frame": 1,
"longitudinal": 0.0,
"lateral": -4.54
},
{
"frame": 2,
"longitudinal": 0.0,
"lateral": -4.56
},
{
"frame": 3,
"longitudinal": 0.0,
"lateral": -4.56
},
{
"frame": 4,
"longitudinal": 0.27,
"lateral": -4.59
},
{
"frame": 5,
"longitudinal": 2.91,
"lateral": -3.86
}
],
"final_rel_position": {
"relative_direction": "Front-right",
"distance_to_collision": {
"Longitudinal": 2.91,
"Lateral": -3.86
},
"time_to_collision": {
"Longitudinal": "Infinity",
"Lateral": "Infinity"
}
},
"velocity_last": {
"Longitudinal": 5.54,
"Lateral": -0.03
},
"risk_assessment": {
"dominant_weight": 0.5,
"risk_level": "Low Risk",
"distance_risk_scores": {
"longitudinal": 3,
"lateral": 4,
"weighted": 3.5
},
"ttc_risk_scores": {
"longitudinal": 5,
"lateral": 5,
"weighted": 5.0
},
"overall_risk_score": 4
},
"explanations": {
"dominant_weight_explanation": "Front-right direction: wdominant = 0.5(balanced focus)",
"longitudinal_distance_explanation": "long_dsc = 3 (Medium Risk: 1.3m \u2264 2.91m < 3.0m)",
"lateral_distance_explanation": "lat_dsc = 4 (Low Risk: 3.0m \u2264 3.86m < 5.0m)",
"longitudinal_ttc_explanation": "long_tsc = 5 (Negligible Risk: TTC = Infinity)",
"lateral_ttc_explanation": "lat_tsc = 5 (Negligible Risk: TTC = Infinity)",
"overall_risk_explanation": "DSC = 0.5 * 3 + 0.5 * 4 = 3.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.5 + 5.0) / 2) = 4"
},
"reasoning_summary": "Agent Obstacle 30770 is Front-right so the dominant_weight is 0.5, with long_dsc = 3 (Medium Risk: 1.3m \u2264 2.91m < 3.0m), lat_dsc = 4 (Low Risk: 3.0m \u2264 3.86m < 5.0m). Relative Velocity: longitudinal 5.54 m/s, lateral -0.03 m/s. So Longitudinal time_to_collision is Infinity, and Lateral time_to_collision is Infinity long_tsc = 5 (Negligible Risk: TTC = Infinity) and lat_tsc = 5 (Negligible Risk: TTC = Infinity) so the weighted ttc_risk_scores is 5.0 Overall risk assessment is Low Risk (score 4), since DSC = 0.5 * 3 + 0.5 * 4 = 3.5; TSC = 0.5 * 5 + 0.5 * 5 = 5.0; Risk = floor((3.5 + 5.0) / 2) = 4"
}
|
ESP_Barcelona-20_9_T-1
| 4.7 | 1.8 |
End of preview. Expand
in Data Studio
Nurisk: VQA for Risk Assessment in Autonomous Driving
Nurisk is a visual question answering dataset focusing on risk assessment for autonomous driving. Each row contains:
- image: a BEV image
- question: a driving-related question
- answer: the ground truth answer
Paper
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving — see the paper on arXiv:2509.25944.
Framework
Dataset Structure
- Splits:
train,validation - Columns:
image,question,answer
Usage
from datasets import load_dataset
ds = load_dataset("Yuan-avs/Nurisk")
sample = ds["train"][0]
print(sample["question"]) # text
print(sample["answer"]) # text
img = sample["image"] # PIL.Image.Image
img.show()
Notes
- Images may be referenced multiple times across different questions.
- The dataset viewer only exposes
image,question, andanswer.
Scope and Upcoming Data
- This repository currently hosts the NuRisk subset described above.
- The Waymo and nuScenes portions will be uploaded later using regular files (not Parquet) due to their large size.
License
Please specify the license applicable to the images and annotations.
Citation
If you use this dataset, please cite the authors accordingly.
@article{gao2025nurisk, title={NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving}, author={Gao, Yuan and Piccinini, Mattia and Brusnicki, Roberto and Zhang, Yuchen and Betz, Johannes}, journal={arXiv preprint arXiv:2509.25944}, year={2025} }
If you are interested in foundation model-based scenario generation and scenario analysis, you may also refer to our comprehensive survey, which provides the first overview of this emerging research area.
Publication details: 📅 June 2025 – Released on arXiv. 📊 The accompanying repository categorizes 342 papers, including: 93 on scenario generation 54 on scenario analysis 55 on datasets 21 on simulators 25 on benchmark challenges 94 on other related topics
📄 Paper: https://arxiv.org/abs/2506.11526
💻 GitHub: https://github.com/TUM-AVS/FM-AD-Survey
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