Spatial Aggregation Net: Point Cloud Semantic Segmentation Based on Multi-Directional Convolution

Semantic segmentation of 3D point clouds plays a vital role in autonomous driving, 3D maps, and smart cities, etc. Recent work such as PointSIFT shows that spatial structure information can improve the performance of semantic segmentation. Motivated by this phenomenon, we propose Spatial Aggregation...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Guorong Cai, Zuning Jiang, Zongyue Wang, Shangfeng Huang, Kai Chen, Xuyang Ge, Yundong Wu
Format:	Article
Language:	English
Published:	MDPI AG 2019-10-01
Subjects:	lidar point cloud deep learning semantic segmentation spatial structure information
Online Access:	https://www.mdpi.com/1424-8220/19/19/4329