Introduces PCT using graph inception networks on voxels to represent large-scale 3D point clouds and reports outperformance on LiDAR sweeps for autonomous driving.
3D points captured in a outdoor environment have huge variations, while the available training data are lim- ited
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Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
Introduces PCT using graph inception networks on voxels to represent large-scale 3D point clouds and reports outperformance on LiDAR sweeps for autonomous driving.