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...

書誌詳細
出版年:	Sensors
主要な著者:	Guorong Cai, Zuning Jiang, Zongyue Wang, Shangfeng Huang, Kai Chen, Xuyang Ge, Yundong Wu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2019-10-01
主題:	lidar point cloud deep learning semantic segmentation spatial structure information
オンライン･アクセス:	https://www.mdpi.com/1424-8220/19/19/4329

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