Infrared and Laser Engineering, Volume. 52, Issue 4, 20220506(2023)

Fast detection of moving targets in long range surveillance LiDAR

Jie Feng1...2, Yang Feng3, Xiang Liu1, Chenjin Deng2,4, and Zhongjun Yu12 |Show fewer author(s)
Author Affiliations
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100194, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Software Engineering, South China University of Technology, Guangzhou 510006, China
  • 4Key Laboratory of Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
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    References(23)

    [3] Shanshan Song, Xuping Zhai. Improved infrared anomaly target detection algorithm based on single Gaussian model. Infrared Technology, 43, 885-888, 894(2021).

    [8] [8] Yang H Z. Research on real time target clustering recognition of LiDAR point cloud f autonomous driving[D]. Hefei: University of Science Technology of China, 2021. (in Chinese)

    [9] [9] Yuan H N, Sun W, Xiang T Y. Line laser point cloud segmentation based on the combination of RANSAC region growing[C]Proceedings of the 39th Chinese Control Conference, 2020: 63246328.

    [10] [10] Maturana D, Scherer S. Vox: A 3D Convolutional Neural wk f realtime object recognition[C]International Conference on Intelligent Robots Systems(IROS). IEEE, 2015: 922928.

    [11] [11] Qi C R, Yi L, Su H, et al. Point++: Deep hierarchical feature learning on point sets in a metric space[C]Advances in Neural Infmation Processing Systems, 2017: 50995108.

    [13] [13] Shi S H, Wang X G , Li H S. PointRCNN: 3D object proposal generation detection from point cloud[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition (CVPR), Long Beach: IEEE, 2019: 770779.

    [15] [15] Redmon J, Farhadi A. YOLOv3: An Incremental Improvement[EBOL]. (20180408)[2022−10−09]. https:arxiv.gabs1804.02767.

    [16] [16] Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detect[C]European Conference on Computer Vision (ECCV). Amsterdam, The herls: Springer, 2016: 2137.

    [18] [18] Geiger A, Lenz P, Urtasun R. Are we ready f autonomous driving The KITTI Vision benchmark suite[C]IEEE Conference on Computer Vision & Pattern Recognition (CVPR), Providence, RI, USA. New Yk: IEEE, 2012: 33543361.

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    Jie Feng, Yang Feng, Xiang Liu, Chenjin Deng, Zhongjun Yu. Fast detection of moving targets in long range surveillance LiDAR[J]. Infrared and Laser Engineering, 2023, 52(4): 20220506

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    Paper Information

    Category: Image processing

    Received: Jul. 21, 2022

    Accepted: --

    Published Online: Jul. 4, 2023

    The Author Email:

    DOI:10.3788/IRLA20220506

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