Research Article
3D Object Detection Algorithm Based on the Reconstruction of Sparse Point Clouds in the Viewing Frustum
Table 2
3D object detection AP values of various algorithms in the BEV with the KITTI test set.
| Method | Cars | Pedestrians | Cyclists | Easy | Moderate | Hard | Easy | Moderate | Hard | Easy | Moderate | Hard |
| MV3D | 86.02 | 76.90 | 68.49 | ā | VoxelNet | 89.35 | 79.26 | 77.39 | 46.13 | 40.74 | 38.11 | 66.70 | 54.76 | 50.55 | AVOD | 88.53 | 83.79 | 77.90 | 58.75 | 51.05 | 47.54 | 68.09 | 57.48 | 50.77 | F-PointNet | 87.28 | 77.09 | 67.90 | 55.26 | 47.56 | 42.57 | 73.42 | 59.87 | 52.88 | Ours | 87.98 | 83.60 | 76.26 | 72.83 | 66.56 | 59.14 | 84.34 | 64.57 | 60.06 |
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