Zhang, K.;                     Huang, L.;                     Liu, X.;                     Chen, J.;                     Zhao, X.;                     Huang, W.;                     He, Y.    
        A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process. J. Mar. Sci. Eng. 2022, 10, 765.
    https://doi.org/10.3390/jmse10060765
    AMA Style
    
                                Zhang K,                                 Huang L,                                 Liu X,                                 Chen J,                                 Zhao X,                                 Huang W,                                 He Y.        
                A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process. Journal of Marine Science and Engineering. 2022; 10(6):765.
        https://doi.org/10.3390/jmse10060765
    
    Chicago/Turabian Style
    
                                Zhang, Ke,                                 Liwen Huang,                                 Xiao Liu,                                 Jiahao Chen,                                 Xingya Zhao,                                 Weiguo Huang,                                 and Yixiong He.        
                2022. "A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process" Journal of Marine Science and Engineering 10, no. 6: 765.
        https://doi.org/10.3390/jmse10060765
    
    APA Style
    
                                Zhang, K.,                                 Huang, L.,                                 Liu, X.,                                 Chen, J.,                                 Zhao, X.,                                 Huang, W.,                                 & He, Y.        
        
        (2022). A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process. Journal of Marine Science and Engineering, 10(6), 765.
        https://doi.org/10.3390/jmse10060765