• Infrared and Laser Engineering
  • Vol. 50, Issue 9, 20200431 (2021)
Qi Lu1, Tingting Lin1, Pengcheng Li2, Ronghua Li1、*, and Yanjun Ge1
Author Affiliations
  • 1Institute of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, China
  • 2SIASUN Robot & Automation CO., Ltd,Shenyang 110000, China
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    DOI: 10.3788/IRLA20200431 Cite this Article
    Qi Lu, Tingting Lin, Pengcheng Li, Ronghua Li, Yanjun Ge. Improved registration algorithm for spatial non-cooperative target point cloud clustering[J]. Infrared and Laser Engineering, 2021, 50(9): 20200431 Copy Citation Text show less
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    [2] Feng Chen, Jie Zhu, Dongqing Gu, et al. Relative navigation technology of space non-cooperative target based on imaging lidar. Infrared and Laser Engineering, 45, 1030005(2016).

    [3] Shijie Zhang, Xibin Cao, Min Chen. Monocular vision determination algorithm for relative pose between non-cooperative spacecraft. Journal of Nanjing University of Science and Technology, 30, 564-568(2006).

    [4] Wenfu Xu, Bin Liang, Cheng Li, et al. Measurement and planning methods for space robots to capture non-cooperative targets. Robot, 63-71(2010).

    [5] Ronghua Li, Shuaifang Wen, Yuzhi Xiao, et al. Indexes optimization macro model of on-orbit imaging lidar in space. Infrared and Laser Engineering, 47, 0230003(2018).

    [6] Yu Liu, Feng Chen, Ying Wang, et al. Spacecraft relative pose measurement technology based on lidar. Infrared and Laser Engineering, 45, 0817003(2016).

    [7] Xixi Zhang, Xiaogang Ji, Haitao Hu, et al. Point cloud segmentation method of miniature complex surface based on characteristic line fitting. Laser & Optoelectronics Progress, 57, 061502(2020).

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    [9] Shuai Wang, Huayan Sun, Huichao Guo. Overlapping region extraction method suitable for laser point cloud registration. Infrared and Laser Engineering, 46, S126002(2017).

    [10] Liangpei Zhang, Yun Zhang, Zhenzhong Chen, et al. Application of multi-model fitting method based on split and merge in point cloud segmentation. Journal of Surveying and Mapping, 47, 833-843(2018).

    [11] Zhen Huang, Huiyan Han, Xie Han. Point cloud segmentation algorithm for cluttered scenes based on concave-convex method. Science Technology and Engineering, 18, 43-47(2018).

    [12] Nan Zhang, Jianfeng Sun, Peng Jiang, et al. Method for estimating normal vector of 3D attitude point of lidar Scene. Infrared and Laser Engineering, 49, 0105004(2020).

    [13] Li Ronghua, Yang Bo, Lu Qi. Rough registration method f point cloud of spatial noncooperative target by improving FPFH[C]SPIE Sixth Symposium on Novel Optoelectronic Detection Technology Application, 2020, 11455: 1145521.

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    Qi Lu, Tingting Lin, Pengcheng Li, Ronghua Li, Yanjun Ge. Improved registration algorithm for spatial non-cooperative target point cloud clustering[J]. Infrared and Laser Engineering, 2021, 50(9): 20200431
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