FPS-Net: a convolutional fusion network for large-scale LiDAR point cloud segmentation

FPS-Net: a convolutional fusion network for large-scale LiDAR point cloud segmentation

Scene understanding based on LiDAR point cloud is an essential task for autonomous cars to drive safely, which often employs spherical projection to map 3D point cloud into multi-channel 2D images for semantic segmentation. Most existing methods simply stack different point attributes/modalities...

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書目詳細資料
Main Authors:	Xiao, Aoran, Yang, Xiaofei, Lu, Shijian, Guan, Dayan, Huang, Jiaxing
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Point Cloud Semantic Segmentation
在線閱讀:	https://hdl.handle.net/10356/162039
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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