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    • Deep learning for LiDAR point cloud processing: a survey

    • Lidar intelligent processing technology has made new progress in fields such as autonomous driving. Expert systems have identified four key tasks, including 3D object detection, and compared and analyzed the research status at home and abroad, providing theoretical references for technological development.
    • Pages: 1-22(2026)   

      Received:31 December 2025

      Revised:2026-01-28

      Accepted:10 February 2026

      Online First:11 February 2026

    • DOI: 10.11834/jig.250664     

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  • Ao Sheng, Wen Chenglu, Li Wen, Liu Dunqiang, Xing Leyuan, Li Mingzhe, Guo Yulan, Wang Cheng. Deep learning for LiDAR point cloud processing: a survey[J/OL]. Journal of Image and Graphics,2026,1-22. DOI: 10.11834/jig.250664. DOI:
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相关作者

Li Changcai 中山大学计算机学院;鹏城实验室网络智能部
Chen Gang 中山大学计算机学院;鹏城实验室网络智能部
Hou Zuoxun 北京空间机电研究所
Huang Kai 中山大学计算机学院;鹏城实验室网络智能部
Zhang Wei 鹏城实验室网络智能部
Jin Shuai 东南大学仪器科学与工程学院
Li Xuanpeng 东南大学仪器科学与工程学院
Yang Feng 东南大学仪器科学与工程学院

相关机构

School of Computer Science and Engineering, Sun Yat-sen University
Department of Networked Intelligence, Pengcheng Laboratory
Beijing Institute of Space Mechanics and Electricity
School of Instrument Science and Engineering, Southeast University
南京理工大学计算机学院
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