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Models/VAD-Base [jiang2023vad]

VAD-Base [jiang2023vad]

Reported on 16 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots8 results

Industrial RobotsonnuScenes
Collision-1s· 2023-05-17
0.07
best: 0.23 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
Collision-2s· 2023-05-17
0.1
best: 0.62 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
Collision-3s· 2023-05-17
0.24
best: 1.27 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
Collision-Avg· 2023-05-17
0.14
best: 0.71 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
L2-1s· 2023-05-17
0.17
best: 1.33 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
L2-2s· 2023-05-17
0.34
best: 2.11 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
L2-3s· 2023-05-17
0.6
best: 2.9 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Industrial RobotsonnuScenes
L2-Avg· 2023-05-17
0.37
best: 2.11 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430

Playing Games8 results

Trajectory PlanningonnuScenes
Collision-1s· 2023-05-17
0.07
best: 0.23 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
Collision-2s· 2023-05-17
0.1
best: 0.62 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
Collision-3s· 2023-05-17
0.24
best: 1.27 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
Collision-Avg· 2023-05-17
0.14
best: 0.71 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
L2-1s· 2023-05-17
0.17
best: 1.33 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
L2-2s· 2023-05-17
0.34
best: 2.11 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
L2-3s· 2023-05-17
0.6
best: 2.9 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430
Trajectory PlanningonnuScenes
L2-Avg· 2023-05-17
0.37
best: 2.11 (ST-P3 (Lidar))
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenes arXiv:2305.10430