학술논문
PPMGNet: A Neural Network Algorithm for Point Cloud 3D Object Detection
Document Type
Conference
Author
Source
2020 IEEE 14th International Conference on Anti-counterfeiting, Security, and Identification (ASID) Anti-counterfeiting, Security, and Identification (ASID), 2020 IEEE 14th International Conference on. :53-56 Oct, 2020
Subject
Language
ISSN
2163-5056
Abstract
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.