Research Article
Research on 3D Point Cloud Object Detection Algorithm for Autonomous Driving
Table 2
Comparison of algorithm performance at a moderate level.
| | Class | Method | Modality | 3DmAP |
| | Car | F-PointNet [16] | | 70.92% | | AVOD-FPN [18] | | 74.44% | | ContFuse [20] | RGB + LiDAR | 73.25% | | MV3D [15] | | 62.68% | | Ours | | 75.02% |
| | Pedestrian | F-PointNet [16] | | 61.32% | | AVOD-FPN [18] | | 58.8% | | ContFuse [20] | RGB + LiDAR | — | | MV3D [15] | | — | | Ours | | 62.51% |
| | Cyclist | F-PointNet [16] | | 56.49% | | AVOD-FPN [18] | | 49.7% | | ContFuse [20] | RGB + LiDAR | — | | MV3D [15] | | — | | Ours | | 57.26% |
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