Kernel Point Non-local Networks for LiDAR Semantic Segmentation

LiDAR point cloud semantic segmentation based on convolutional neural networks has become an effective way to understand traffic scenes. Previous works mainly focus on projecting point clouds onto a plane and then use efficient 2D CNN to achieve efficient feature extraction. However, the projection process is accompanied by 3D information loss, challenging to adapt to the complex traffic environme...