Chinese Journal of Lasers, Volume. 50, Issue 19, 1910001(2023)

Marine Lidar Intensity-Space Combined Filtering Method

Zhengyu Li1, Hongdong Wang1,2、*, Shengzhe Wei2, and Jiankun Lou2
Author Affiliations
  • 1Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    References(24)

    [1] Lou J K, Wang H D, Wang J Y et al. Intelligent evolution method for obstacle-avoidance algorithm of unmanned surface vehicles in real sea trial based on machine learning[J]. Chinese Journal of Ship Research, 16, 65-73(2021).

    [2] Liu Z X, Zhang Y M, Yu X et al. Unmanned surface vehicles: an overview of developments and challenges[J]. Annual Reviews in Control, 41, 71-93(2016).

    [3] Zhuang J Y, Xu Y R, Wan L et al. Target detection of an unmanned surface vehicle based on a radar image[J]. Journal of Harbin Engineering University, 33, 129-135(2012).

    [4] Zhan H R, Jiang X R. Image recognition algorithm of unmanned aerial vehicle video under complex background[J]. Ship Science and Technology, 42, 79-81(2020).

    [5] Zhuang J X, Jiao N, Yin F. Application of MMW radar and LIDAR in MASS[J]. Ship Engineering, 41(2019).

    [6] Jimenez Ruiz A R, Seco Granja F. A short-range ship navigation system based on ladar imaging and target tracking for improved safety and efficiency[J]. IEEE Transactions on Intelligent Transportation Systems, 10, 186-197(2009).

    [7] Zhao F, Jiang H, Liu Z W. Recent development of automotive LiDAR technology, industry and trends[J]. Proceedings of SPIE, 11179, 111794A.

    [8] Li X L, Liu C, Wang Z N et al. Airborne LiDAR: state-of-the-art of system design, technology and application[J]. Measurement Science and Technology, 32, 032002(2021).

    [9] Halterman R, Bruch M. Velodyne HDL-64E lidar for unmanned surface vehicle obstacle detection[J]. Proceedings of SPIE, 7692, 76920D(2010).

    [10] Liu C G, Guo J H, Wu Y et al. 3D LiDAR based real-time object recognition system for unmanned surface vehicles[J]. Journal of Mechanical Engineering, 58, 202-211(2022).

    [11] Thompson D, Coyle E, Brown J. Efficient LiDAR-based object segmentation and mapping for maritime environments[J]. IEEE Journal of Oceanic Engineering, 44, 352-362(2019).

    [12] Zhang W, Yang C F, Jiang F et al. A water surface moving target detection based on information fusion using deep learning[J]. Journal of Physics: Conference Series, 1606, 012020(2020).

    [13] Hagen I B, Brekke E. Kayak tracking using a direct lidar model[C](2020).

    [14] Zhou Z G, Li Y Y, Cao J W et al. Research on surface target detection algorithm based on 3D lidar[C], 489-494(2021).

    [15] Tong Y, Xia M, Yang K C et al. Target reflection feature extraction based on lidar intensity value[J]. Laser & Optoelectronics Progress, 55, 102802(2018).

    [16] Dai Y J[M]. The principle of lidar(2002).

    [17] Wang Z, Wang Z, Zhang X et al. Adaptive threshold clustering segmentation method based on two-dimensional lidar[J]. Chinese Journal of Lasers, 48, 1610005(2021).

    [18] Ward K D, Watts S. Use of sea clutter models in radar design and development[J]. IET Radar, Sonar & Navigation, 4, 146-157(2010).

    [19] He Y, Huang Y, Guan J et al. An overview on radar target detection in sea clutter[J]. Modern Radar, 36, 1-9(2014).

    [20] Li W G, Fan X, Mei Y et al. Road marking extraction method based on vehicle laser point cloud[J]. Chinese Journal of Lasers, 49, 0710001(2022).

    [21] Yang F P, Wang H G, Dong S X et al. Two-stage outliers detection algorithm based on clustering division[J]. Application Research of Computers, 30, 1942-1945(2013).

    [23] Nguyen A, Cano A M, Edahiro M et al. Fast Euclidean cluster extraction using GPUs[J]. Journal of Robotics and Mechatronics, 32, 548-560(2020).

    [24] Hu J, Liu H, Xu W C et al. Position detection algorithm of road obstacles based on 3D LiDAR[J]. Chinese Journal of Lasers, 48, 2410001(2021).

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    Zhengyu Li, Hongdong Wang, Shengzhe Wei, Jiankun Lou. Marine Lidar Intensity-Space Combined Filtering Method[J]. Chinese Journal of Lasers, 2023, 50(19): 1910001

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    Paper Information

    Category: remote sensing and sensor

    Received: Sep. 2, 2022

    Accepted: Oct. 31, 2022

    Published Online: Oct. 24, 2023

    The Author Email: Wang Hongdong (whd302@sjtu.edu.cn)

    DOI:10.3788/CJL221207

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