3D Object Detection On Aimotive Dataset
평가 지표
BEV [email protected] Highway
BEV [email protected] Night
BEV [email protected] Rain
BEV [email protected] Urban
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | BEV [email protected] Highway | BEV [email protected] Night | BEV [email protected] Rain | BEV [email protected] Urban | Paper Title | Repository |
|---|---|---|---|---|---|---|
| Lidar-Radar | 0.741 | 0.766 | 0.517 | 0.638 | aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception | - |
| Lidar | 0.757 | 0.754 | 0.568 | 0.630 | aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception | - |
| Lidar-Radar-Camera | 0.762 | 0.730 | 0.423 | 0.644 | aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception | - |
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