Trajectory planning on VR-Drive Height +1.0 m perturbation
0.29L2 Distance (m)AD-MLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AD-MLPType=Ego-status only, Input modality=Ego-status without camera images2026.04 | 0.29 | 0.19 | |
| BEV-PlannerType=Ego-status only, Input modality=Ego-status without camera images2026.04 | 0.57 | 0.29 | |
| OursType=Self-Supervised (S), Input modality=Camera images2026.04 | 0.63 | 0.42 | |
| VR-DriveType=Perception-based (P), Input modality=Camera images2026.04 | 0.69 | 0.11 | |
| VADType=Perception-based (P), Input modality=Camera images2026.04 | 0.73 | 0.47 | |
| SparseDriveType=Perception-based (P), Input modality=Camera images2026.04 | 0.87 | 0.54 | |
| World4DriveType=Self-Supervised (S), Input modality=Camera images2026.04 | 1.06 | 1.29 | |
| DiffusionDriveType=Perception-based (P), Input modality=Camera images2026.04 | 1.46 | 0.81 |