Autonomous Driving Planning on nuScenes ST-P3 (val)
0.37L2 Error (m)LWDrive
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LWDriveModeling approach=Autoregressive2026.06 | 0.37 | 0.16 | |
| DriveVLMModeling approach=Autoregressive2026.06 | 0.4 | 0.27 | |
| RDA-DriverModeling approach=Autoregressive2026.06 | 0.4 | 0.1 | |
| AutoVLAModeling approach=Autoregressive, Variant=action only2026.06 | 0.43 | 0.19 | |
| InsightDriveModeling approach=Non-Autoregressive2026.06 | 0.44 | 0.15 | |
| GPT-DriverModeling approach=Autoregressive2026.06 | 0.44 | 0.17 | |
| AutoVLAModeling approach=Autoregressive, Variant=w/ CoT2026.06 | 0.48 | 0.13 | |
| BEV-PlannerModeling approach=Non-Autoregressive2026.06 | 0.55 | 0.59 | |
| UniADModeling approach=Non-Autoregressive2026.06 | 0.69 | 0.12 | |
| Doe-1Modeling approach=Autoregressive2026.06 | 0.7 | 0.21 | |
| OccWorldModeling approach=Autoregressive2026.06 | 0.77 | 0.32 | |
| Ego-MLPModeling approach=Non-Autoregressive2026.06 | 0.78 | 0.38 | |
| OmniDriveModeling approach=Autoregressive2026.06 | 0.84 | 0.94 | |
| DME-DriverModeling approach=Autoregressive2026.06 | 0.98 | 0.29 | |
| VADModeling approach=Non-Autoregressive2026.06 | 1.25 | 1.09 | |
| ST-P3Modeling approach=Non-Autoregressive2026.06 | 2.11 | 0.71 | |
| OpenEMMAModeling approach=Autoregressive2026.06 | 2.81 | — |