Laser & Optoelectronics Progress, Volume. 57, Issue 3, 030102(2020)

Extrinsic Calibration for Lidar and Stereo Vision Using 3D Feature Points

Shaojie Chen1,2、*, Zhencai Zhu3, Yonghe Zhang1, Ming Guo1、**, and Shuai Zhi1、***
Author Affiliations
  • 1Innovation Academy for Microsatellite, Chinese Academy of Sciences, Shanghai 201203, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Innovation Academy for Microsatellites of CAS Key Laboratory, Shanghai 201203, China
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    Figures & Tables(9)
    SGBM algorithm framework
    Imaging system. (a) Geometric relationship between parallax and depth; (b) getting spatial points from pixel coordinates
    Experimental device diagram. (a) Board layout; (b) layout of lidar and binocular camera
    Edge extraction. (a) (b) Edge extraction results of different perspectives of binocular camera; (c) frame selection of lidar point cloud
    Point cloud fusion results from different perspectives in two scenes. (a) (b) Scene one; (c)(d) scene two
    Results of lidar point cloud reprojection
    Point cloud fusion of two different perspectives of binocular camera. (a)(b) Left view of two perspectives; (c) result of the point cloud fusion
    Fusion results of method in Ref. [4]. (a) Result of edge point extraction; (b) result of circle center extraction
    Fusion results of method in Ref. [4]. (a) Result 1; (b) another result
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    Shaojie Chen, Zhencai Zhu, Yonghe Zhang, Ming Guo, Shuai Zhi. Extrinsic Calibration for Lidar and Stereo Vision Using 3D Feature Points[J]. Laser & Optoelectronics Progress, 2020, 57(3): 030102

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jul. 10, 2019

    Accepted: Jul. 29, 2019

    Published Online: Feb. 17, 2020

    The Author Email: Chen Shaojie (1084010191@qq.com), Guo Ming (googlm@163.com), Zhi Shuai (zhishuai0705@163.com)

    DOI:10.3788/LOP57.030102

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