Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1228008(2022)

Obstacle Detection of LiDAR Based on Optimized DBSCAN

Changyong Zhang and Liang Han*
Author Affiliations
  • College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • show less
    Figures & Tables(9)
    Schematic of ground points in different scenes. (a) Schematic of slope ground point determination; (b) schematic of non-ground point judgment
    Schematic of 3D LiDAR scanning. (a) Side view of 3D LiDAR scanning; (b) front view of 3D LiDAR scanning
    Flowchart of obstacle detection
    Selection of representative points
    ROI data extraction and ground segmentation results. (a) Lane line detection; (b) ROI extraction; (c) ground segmentation
    Multi-distance and multi-obstacle plane scene detection experiment. (a) Data acquisition scenarios; (b) effect of traditional DBSCAN algorithm; (c) effect of algorithm in Ref. [9]; (d) effect of proposed algorithm
    Multi-distance and multi-obstacle slope scene detection experiment. (a) Data acquisition scenarios; (b) effect of traditional DBSCAN algorithm; (c) effect of algorithm in Ref. [9]; (d) effect of proposed algorithm
    • Table 1. Reflection intensity of different materials

      View table

      Table 1. Reflection intensity of different materials

      MaterialReflectance /%
      Asphalt7
      Cement31
      Concrete40
      Fresh yellow paint55
      Fresh white paint60
    • Table 2. Performance comparison of traditional DBSCAN algorithm, Ref. [9] algorithm, and proposed algorithm

      View table

      Table 2. Performance comparison of traditional DBSCAN algorithm, Ref. [9] algorithm, and proposed algorithm

      SceneAlgorithm

      Positive

      recognition

      Error

      recognition

      MissedrecognitionPositiverecognition rate /%Averagetime /s
      Straight roadTraditional DBSCAN algorithm221258766.371.26
      Ref.[9275481282.090.12
      Improved DBSCAN algorithm299241089.790.08
      Sloping roadTraditional DBSCAN algorithm195318462.901.29
      Ref.[9246832170.290.17
      Improved DBSCAN algorithm297291387.610.11
    Tools

    Get Citation

    Copy Citation Text

    Changyong Zhang, Liang Han. Obstacle Detection of LiDAR Based on Optimized DBSCAN[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1228008

    Download Citation

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

    Category: Remote Sensing and Sensors

    Received: Jul. 12, 2021

    Accepted: Aug. 25, 2021

    Published Online: Jun. 9, 2022

    The Author Email: Liang Han (15122707718@163.com)

    DOI:10.3788/LOP202259.1228008

    Topics