Table 1 Object classification performance on the Sydney urban objects dataset and our generated object dataset
From: CNN-based 3D object classification using Hough space of LiDAR point clouds
Object | Our dataset | Sydney urban objects dataset |
|---|---|---|
Pedestrian | 0.970 | 0.980 |
Tree | 0.951 | 0.857 |
Pillar | – | 0.800 |
Traffic sign | – | 0.850 |