Acta Optica Sinica, Volume. 45, Issue 8, 0815004(2025)

Cascaded Point Cloud Segmentation Algorithm for Unstructured Environments Based on LiDAR for Autonomous Vehicles

Xiujian Yang, Jialong Huang, Shengbin Zhang*, and Haicheng Xiao
Author Affiliations
  • Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • show less
    References(23)

    [6] Guo R B, Wang N, Chen X Y L et al. A moving-object segmentation method based on instance enhancement on LiDAR data[J]. Robot, 46, 534-543(2024).

    [7] Wang Z Y, Chen Y, Zhou B et al. A point cloud semantic segmentation method for unstructured roads[J]. Journal of Beijing University of Aeronautics and Astronautics, 51, 457-465(2025).

    [13] Jin L S, He Y, Wang H H et al. Point cloud segmentation algorithm based on adaptive threshold DBSCAN for roadside LiDAR[J]. Automotive Engineering, 44, 987-996(2022).

    Tools

    Get Citation

    Copy Citation Text

    Xiujian Yang, Jialong Huang, Shengbin Zhang, Haicheng Xiao. Cascaded Point Cloud Segmentation Algorithm for Unstructured Environments Based on LiDAR for Autonomous Vehicles[J]. Acta Optica Sinica, 2025, 45(8): 0815004

    Download Citation

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

    Category: Machine Vision

    Received: Jan. 3, 2025

    Accepted: Feb. 28, 2025

    Published Online: Apr. 27, 2025

    The Author Email: Shengbin Zhang (zhangshengbin@kust.edu.cn)

    DOI:10.3788/AOS250431

    CSTR:32393.14.AOS250431

    Topics