APPLIED LASER, Volume. 43, Issue 7, 87(2023)

3D LiDAR Based on Improved Density Clustering Research on Point Cloud Filtering Algorithm

Tao Zeyu1, Su Jianqiang1,2, Dong Chaoyi1,2, and Shan Xinping1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(4)

    [4] [4] YIN Y L, WAN W G, LIU R. Filtering outliers using statistical analysis on neighbors distances[C]//IET International Conference on Smart and Sustainable City 2013 (ICSSC 2013). Shanghai, China: Institution of Engineering and Technology, 2013: 149-152.

    [11] [11] SHI G G, GAO X G, DANG X H. Improved ICP point cloud registration based on KDTree[J]. International Journal of Earth Sciences and Engineering, 2016, 9(5):2195-2199.

    [13] [13] XU X W, ESTER M, KRIEGEL H P, et al. A distribution-based clustering algorithm for mining in large spatial databases[C]//Proceedings 14th International Conference on Data Engineering. Orlando, FL, USA: New York: IEEE, 2002: 324-331.

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    Tao Zeyu, Su Jianqiang, Dong Chaoyi, Shan Xinping. 3D LiDAR Based on Improved Density Clustering Research on Point Cloud Filtering Algorithm[J]. APPLIED LASER, 2023, 43(7): 87

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    Paper Information

    Received: Apr. 14, 2022

    Accepted: --

    Published Online: May. 23, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234307.087

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