Chinese Journal of Ship Research, Volume. 17, Issue 6, 209(2022)

Path planning method for unmanned surface vehicle with controllable distance from obstacles

Bing YANG, Jiansen ZHAO, Shengzheng WANG, Zongxuan XIE, and Xuesheng ZHANG
Author Affiliations
  • Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
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    References(15)

    [7] XIA G Q, HAN Z W, ZHAO B et al. Global path planning for unmanned surface vehicle based on improved quantum ant colony algorithm[J]. Mathematical Problems in Engineering, 2019, 2902170(2019).

    [15] [15] EDA M, PICH V. Robot motion planning using generalised vonoi diagrams[C]Proceedings of the 8th Conference on Signal Processing, Computational Geometry Artificial Vision. Rhodes, Greece: WSEAS, 2008: 215–220.

    [16] [16] DOLGOV D, THRUN S, MONTEMERLO M, et al. Practical search techniques in path planning f autonomous driving[C]Proceedings of the First International Symposium on Search Techniques in Artificial Intelligence Robotics (STAIR08). Chicago, Illinois: AAAI, 2008: 32–37.

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    Bing YANG, Jiansen ZHAO, Shengzheng WANG, Zongxuan XIE, Xuesheng ZHANG. Path planning method for unmanned surface vehicle with controllable distance from obstacles[J]. Chinese Journal of Ship Research, 2022, 17(6): 209

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    Paper Information

    Category: Ship Design and Performance

    Received: Apr. 29, 2021

    Accepted: --

    Published Online: Mar. 26, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02368

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