Laser & Infrared, Volume. 55, Issue 7, 1029(2025)

Multi-target path planning algorithm based on LiDAR

HAN Hui-yan1,2,3, ZHENG Xin-yi1,2,3, KUANG Li-qun1,2,3, YANG Xiao-wen1,2,3, and HAN Xie1,2,3
Author Affiliations
  • 1School of Computer Science and Technology, North University of China, Taiyuan 030051, China
  • 2Shanxi Provincial Key Laboratory of Machine Vision and Virtual Reality, Taiyuan 030051, China
  • 3Shanxi Province′s Vision Information Processing and Intelligent Robot Engineering Research Center, Taiyuan 030051, China
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    References(17)

    [1] [1] Lotfi M, Osrio G J, Javadi M S, et al. A dijkstra-inspired graph algorithm for fully autonomous tasking in industrial applications[J]. IEEE Transactions on Industry Applications, 2021, 57(5): 5448-5460.

    [2] [2] Zhang Z, Wu J, Dai J Y, et al. A novel real-time penetration path planning algorithm for stealth UAV in 3D complex dynamic environment[J]. IEEE Access, 2020, 8: 122757-122771.

    [3] [3] Zhang Z H, Qiao B, Zhao W T, et al. A predictive path planning algorithm for mobile robot in dynamic environments based on rapidly exploring random tree[J]. Arabian Journal for Science and Engineering, 2021, 46(9): 8223-8232.

    [4] [4] Chen G, Luo N, Liu D, et al. Path planning for manipulators based on an improved probabilistic roadmap method[J]. Robotics and Computer-Integrated Manufacturing, 2021, 72: 102196.

    [7] [7] Wang W, Wu Z K, Luo H F, et al. Path planning method of mobile robot using improved deep reinforcement learning[J]. Journal of Electrical and Computer Engineering, 2022, 2022: 5433988.

    [8] [8] Huang R N, Qin C X, Li J L, et al. Path planning of mobile robot in unknown dynamic continuous environment using reward-modified deep Q-network[J]. Optimal Control Applications and Methods, 2023, 44(3): 1570-1587.

    [9] [9] Ding Z Y, Liu J, Chi W Z, et al. PRTIRL based socially adaptive path planning for mobile robots[J]. International Journal of Social Robotics, 2023, 15(2): 129-142.

    [10] [10] Chen Y L, Liang L. SLP-lmproved DDPG path-planning algorithm for mobile robot in large-scale dynamic environment[J]. Sensors, 2023, 23(7): 3521.

    [11] [11] Gong H, Wang P, Ni C. Efficient path planning for mobile robot based on deep deterministic policy gradient[J]. Sensors, 2022, 22(9): 3579.

    [12] [12] Haarnoja T, Zhou A, Abbeel P, et al. Off-policy maximum entropy deep reinforcement learning with a stochastic actor[DB/OL]. (2018-01-04. https://arxiv.org/abs/1801.01290.

    [13] [13] Yang L Y, Bi J, Yuan H T. Dynamic path planning for mobile robots with deep reinforcement learning[J]. IFAC-PapersOnLine, 2022, 55(11): 19-24.

    [15] [15] De Jesus J C, Kich V A, Kolling A H, et al. Soft actor-critic for navigation of mobile robots[J]. Journal of Intelligent & Robotic Systems, 2021, 102(2): 31.

    [16] [16] Lee M H, Moon J. Deep reinforcement learning-based model-free path planning and collision avoidance for UAVs: a soft actor-critic with hindsight experience replay approach[J]. ICT Express, 2023, 9(3): 403-408.

    [17] [17] Delvecchio M D. Enhancing communications aware evasion attacks on RFML spectrum sensing systems[D]. Blacksburg: Virginia Polytechnic Institute and State University, 2020.

    [18] [18] Akers M, Barton A. Forming adversarial example attacks against deep neural networks with reinforcement learning[J]. Computer, 2024, 57(1): 88-99.

    [19] [19] Zhu Z D, Lin K X, Jain A K, et al. Transfer learning in deep reinforcement learning: a survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(11): 13344-13362.

    [20] [20] Meng Y, Zhang C, Prasanna V. FPGA acceleration of deep reinforcement learning using on-chip replay management[C]//Proceedings of the 19th ACM International Conference on Computing Frontiers. New York: Association for Computing Machinery, 2022: 40-48.

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    HAN Hui-yan, ZHENG Xin-yi, KUANG Li-qun, YANG Xiao-wen, HAN Xie. Multi-target path planning algorithm based on LiDAR[J]. Laser & Infrared, 2025, 55(7): 1029

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    Paper Information

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    Received: Oct. 31, 2024

    Accepted: Sep. 12, 2025

    Published Online: Sep. 12, 2025

    The Author Email:

    DOI:10.3969/j.issn.1001-5078.2025.07.004

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