Bench2Drive On Bench2Drive
Metrics
Driving Score
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Driving Score |
|---|---|
| sparsedrive-end-to-end-autonomous-driving-via | 44.54 |
| genad-generative-end-to-end-autonomous | 44.81 |
| trajectory-guided-control-prediction-for-end | 59.90 |
| hip-ad-hierarchical-and-multi-granularity | 86.77 |
| diffad-a-unified-diffusion-modeling-approach | 67.92 |
| goal-oriented-autonomous-driving | 45.81 |
| trajectory-guided-control-prediction-for-end | 40.70 |
| bench2drive-towards-multi-ability | 18.05 |
| difsd-ego-centric-fully-sparse-paradigm-with | 52.02 |
| trajectory-guided-control-prediction-for-end | 30.47 |
| vad-vectorized-scene-representation-for | 42.35 |
| hydra-next-robust-closed-loop-driving-with | 73.86 |
| goal-oriented-autonomous-driving | 40.73 |
| hidden-biases-of-end-to-end-driving-models | 84.21 |
| drivetransformer-unified-transformer-for | 63.46 |
| carllava-vision-language-models-for-camera | 85.94 |
| driveadapter-breaking-the-coupling-barrier-of | 64.22 |
| think-twice-before-driving-towards-scalable | 62.44 |
| trajectory-guided-control-prediction-for-end | 49.30 |