Research Article

An Anchor-Free 3D Object Detection Approach Based on Hierarchical Pillars

Table 3

Detection performance comparison among several methods on KITTI validation set (car class).

MethodsModalityAnchor freeStageSpeed (Hz)3D detection AP ()BEV detection AP ()
EasyModerateHardEasyModerateHard

F-PointNet [20]L+CNTwo5.983.7670.9263.6588.1684.0276.44
PointRCNN [21]LNTwo1089.1978.8577.9190.2187.8985.51
Fast-PointRCNN [22]LNTwo15.489.127977.4890.1288.186.24
VoxelNet [12]LNOne4.481.9765.4662.8589.684.8178.57
SECOND [13]LNOne2087.4376.4869.189.9687.0779.66
PointPillars [14]LNOne4287.4477.6775.7689.8887.4385.01
AFDet [17]LYOne3585.6875.5769.3189.4285.4580.56
OursLYOne35.788.6578.2076.1790.0487.8084.14