Laser & Infrared, Volume. 54, Issue 12, 1841(2024)

Large-scale point cloud semantic segmentation method for railway scene

MENG Wei-jie1,2, WU Jia-cheng3, SUN Shu-jie4, LIU Jun-bo4, GUO Jian-yong5,6, TIAN Mei1,2, and HUANG Ya-ping1,7、*
Author Affiliations
  • 1Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China
  • 2School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
  • 3Liantong System Integration Co., Ltd., Beijing 100032, China
  • 4Institute of Infrastructure Testing, China Academy of Railway Sciences, Beijing 100080, China
  • 5Urban Rail Transit Division, China Railway Design Group, Tianjin 300142, China
  • 6National Engineering Research Center for Digital Construction and Evaluation Technology of Urban Rail Transit, Tianjin 300308, China
  • 7Tangshan Research Institute of Beijing Jiaotong University, Tangshan 063000, China
  • show less
    Figures & Tables(0)
    Tools

    Get Citation

    Copy Citation Text

    MENG Wei-jie, WU Jia-cheng, SUN Shu-jie, LIU Jun-bo, GUO Jian-yong, TIAN Mei, HUANG Ya-ping. Large-scale point cloud semantic segmentation method for railway scene[J]. Laser & Infrared, 2024, 54(12): 1841

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 1, 2024

    Accepted: Apr. 3, 2025

    Published Online: Apr. 3, 2025

    The Author Email: HUANG Ya-ping (yphuang@bjtu.edu.cn)

    DOI:10.3969/j.issn.1001-5078.2024.12.006

    Topics