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. 2019 Sep 22;19(19):4093. doi: 10.3390/s19194093

Table 2.

Bird’s Eye View (BEV) detection performance: AP (%) for BEV box in the KITTI valuation set.

Method Modality Car Cyclist Pedestrian
Easy Mod. Hard Easy Mod. Hard Easy Mod. Hard
MV3D Img & Lidar 86.02 76.90 68.48 N/A N/A N/A N/A N/A N/A
AVOD Img & Lidar 88.53 83.79 77.90 68.09 57.48 50.77 58.75 51.05 47.54
F-PointNet Img & Lidar 88.07 84.00 75.33 75.38 61.96 54.68 58.09 50.22 47.02
PIXOR Lidar 89.38 83.70 77.97 N/A N/A N/A N/A N/A N/A
VoxelNet Lidar 89.35 79.26 77.39 66.07 54.76 50.55 46.13 40.74 38.11
PointPillars Lidar 90.12 86.67 84.53 80.89 61.54 58.63 73.08 68.20 63.20
PVFE Lidar 89.98 87.03 79.31 84.30 64.72 58.42 61.93 54.88 51.93
SECOND Lidar 89.23 86.25 78.95 82.88 63.46 57.63 60.81 53.67 51.10
3D-GIoU Lidar 90.16 87.92 86.55 85.35 66.91 65.06 70.16 62.57 55.52