Optics and Precision Engineering, Volume. 32, Issue 16, 2537(2024)

Vehicle localization and navigation method based on LiDAR point cloud map

Qinglu MA1,*... Feng BAI2, Jie ZHANG1 and Zheng ZOU3 |Show fewer author(s)
Author Affiliations
  • 1School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing400074, China
  • 2School of Civil Engineering, Chongqing Jiaotong University, Chongqing400074, China
  • 3The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai201804,China
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    Figures & Tables(12)
    Experimental Platform
    Schematic diagram of map processing process
    Location based on prior maps
    Different positioning time consumption and total operation time situation
    Frequency distribution of different positioning time consumption
    Comparison of positioning error data before and after model improvement
    Comparison of data before and after improvement of the vehicle attitude estimation model
    Global path planning and its effectiveness comparison
    Comparison of planned path curvature
    • Table 1. Influence of neighborhood quantity on operations

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      Table 1. Influence of neighborhood quantity on operations

      邻域数量迭代次数迭代处理节点

      总处理

      节点

      总计算

      时间/s

      4邻域20048000.8
      8邻域15081 2001.2
      16邻域120161 9201.92
    • Table 2. Lidar parameters table

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      Table 2. Lidar parameters table

      测量

      范围

      范围

      精度

      水平视场垂直视场频率最大采集
      200 m±3 cm360°-25°~15°5~20 Hz120万点/s
    • Table 3. Navigation path curvature

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      Table 3. Navigation path curvature

      项目路径1路径2路径3路径4

      最大

      曲率

      改进前0.4080.3300.3000.120
      改进后0.0780.0830.0920.042

      最小

      曲率

      改进前0.1360.1100.1000.040
      改进后0.0260.0280.0310.014
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    Qinglu MA, Feng BAI, Jie ZHANG, Zheng ZOU. Vehicle localization and navigation method based on LiDAR point cloud map[J]. Optics and Precision Engineering, 2024, 32(16): 2537

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    Paper Information

    Category:

    Received: Mar. 18, 2024

    Accepted: --

    Published Online: Nov. 18, 2024

    The Author Email: MA Qinglu (qlm@cqjtu.edu.cn)

    DOI:10.37188/OPE.20243216.2537

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