Opto-Electronic Engineering, Volume. 50, Issue 2, 220240(2023)

Obstacle recognition on Mars surface based on LiDAR data

Haiping Chen... Mengyang Li, Tingfen Cao, Han Yan, Liang Zhang, Jinli Zhang and Chengcheng Wang* |Show fewer author(s)
Author Affiliations
  • Laser Fusion Research Center, Chinese Academy of Engineering Physics, Mianyang, Sichuan 621900, China
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    Figures & Tables(8)
    Diagram of the obstacle point cloud octree-based space division
    Experimental dataset. (a) Two-dimensional scene diagram; (b) Three-dimensional point cloud; (c) Elevation rendering
    Intensity histogram of the experimental dataset
    Obstacle point cloud classification results in the experimental area (vertical view)
    Obstacle point cloud recognition results in the experimental area (vertical view)
    Representative obstacle recognition results in the experimental area (vertical view)
    True value diagram of obstacle labeling in the experimental area
    • Table 1. Accuracy statistics of obstacle recognition

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      Table 1. Accuracy statistics of obstacle recognition

      I class error/%Ⅱ class error/%Total error/%
      11.53.484.91
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    Haiping Chen, Mengyang Li, Tingfen Cao, Han Yan, Liang Zhang, Jinli Zhang, Chengcheng Wang. Obstacle recognition on Mars surface based on LiDAR data[J]. Opto-Electronic Engineering, 2023, 50(2): 220240

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    Paper Information

    Category: Article

    Received: Sep. 30, 2022

    Accepted: Jan. 11, 2023

    Published Online: Apr. 13, 2023

    The Author Email: Wang Chengcheng (wchch_caep@163.com)

    DOI:10.12086/oee.2023.220240

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