Chinese Journal of Ship Research, Volume. 16, Issue 1, 65(2021)

Intelligent evolution method for obstacle-avoidance algorithm of unmanned surface vehicles in real sea trial based on machine learning

Jiankun LOU1,2, Hongdong WANG1,2, Jianyao WANG1,2, and Hong YI1,2
Author Affiliations
  • 1Key Laboratory of Marine Intelligent Equipment and System Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    References(13)

    [5] HOOTMAN J C, WHITCOMB D C. A military effectiveness analysis and decision making framework for naval ship design and acquisition[J]. Naval Engineers Journal, 117, 43-61(2005).

    [7] [7] FOSSEN T I. Hbook of marine craft hydrodynamics motion control[M]. Chichester, Hoboken: Wiley, 2011.

    [8] PRATT W K, ADAMS J E. Digital image processing[J]. Journal of Electronic Imaging, 16, 029901(2007).

    [11] [11] RUSSELL S J, NVIG P. Artificial intelligence: a modern approach (international edition)[M]. [S.1.]: Pearson Education Inc., 2002.

    [14] BROOKS R A. A robust layered control system for a mobile robot[J]. IEEE Journal on Robotics and Automation, 2, 14-23(1986).

    [16] [16] ALPAYDIN E. Neural wks deep learning[M]ALPAYDIN E. Machine Learning: the New AI. Cambridge, Mass: MIT Press, 2016: 85–109.

    [17] [17] HAN Z H, ZHANG K S. Surrogatebased optimization[M]ROEVA O. RealWld Applications of Geic Algithms. Rijek, Crotia: InTech, 2012.

    [18] [18] RASMUSSEN C E, WILLIAMS C K I. Gaussian processes f machine learning[M]. Cambridge, Mass: The MIT Press, 2006.

    [20] STEIN M L. A kernel approximation to the kriging predictor of a spatial process[J]. Annals of the Institute of Statistical Mathematics, 43, 61-75(1991).

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    Jiankun LOU, Hongdong WANG, Jianyao WANG, Hong YI. 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, 2021, 16(1): 65

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    Paper Information

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    Received: Sep. 17, 2020

    Accepted: --

    Published Online: Mar. 27, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02116

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