PPMGNet: A Neural Network Algorithm for Point Cloud 3D Object Detection
Xiaohong Peng, Sen Wang, Shuqin Geng, Zhe Zhang, Haonan Tang, Yu Wang, Jie Wang, Xuefeng Li, Jianing Du · 2020
3D object detection based on point cloud data is an essential part of L4 automatic driving. This paper proposes a novel end-to-end trainable deep learning network structure, PPMGNet, which can quickly encode point clouds, obtain the spatial feature of point clouds, predict multiple categories, and perform 3D object detection in real time. A large number of experiments show that in terms of speed and accuracy, PPMGNet's detection performance is very suitable for direct deployment in autonomous driving applications.