State-of-the-art research and prospects of key technologies for ship autonomous navigation

Yongjie LI; Rui ZHANG; Muheng WEI; Yu ZHANG

doi:10.19693/j.issn.1673-3185.01958

[6] [6] QIU B H, ZHANG Y, WEI M H, et al. Hybrid cloud based cyberenabled ship control management system[C]2018 IEEE International Conference on Prognostics Health Management (ICPHM). Seattle, WA, USA: IEEE, 2018: 16.

[7] IM I, SHIN D, JEONG J. Components for smart autonomous ship architecture based on intelligent information technology[J]. Procedia Computer Science, 134, 91-98(2018).

[8] HUANG Y M, CHEN L Y, CHEN P F et al. Ship collision avoidance methods: State-of-the-art[J]. Safety Science, 121, 451-473(2020).

[9] PERERA L P, MOREIRA L, SANTOS F P et al. A navigation and control platform for real-time manoeuvring of autonomous ship models[J]. IFAC Proceedings Volumes, 45, 465-470(2012).

[10] XUE J, WU C Z, CHEN Z J et al. Modeling human-like decision-making for inbound smart ships based on fuzzy decision trees[J]. Expert Systems with Applications, 115, 172-188(2019).

[11] LAGER M, TOPP E A. Remote supervision of an autonomous surface vehicle using virtual reality[J]. IFAC-PapersOnLine, 52, 387-392(2019).

[12] PEDERSEN T A, GLOMSRUD J A, RUUD E L et al. Towards simulation-based verification of autonomous navigation systems[J]. Safety Science, 129, 104799(2020).

[18] [18] DASGUPTA S, BANERJEE A. A realtime panamic vision system f autonomous navigation[C]Proceedings of the 2004 Winter Simulation Conference. Washington, DC, USA: IEEE, 2004.

[26] [26] GUERRIERO M, WILLETT P, CALUPPI S, et al. RadarAIS data fusion SAR tasking f maritime surveillance[C]2008 11th International Conference on Infmation Fusion. Cologne, Germany: IEEE, 2008.

[27] [27] JUAN Y, ZHANG B Y, YU J Z. Research on target attributes fusion in tedradar based on DS evidence they[C]IET International Radar Conference 2015. Hangzhou, China: IEEE, 2015.

[46] CORADDU A, ONETO L, BALDI F et al. Data-driven ship digital twin for estimating the speed loss caused by the marine fouling[J]. Ocean Engineering, 186, 106063(2019).

[48] LECUN Y, BENGIO Y, HINTON G. Deep learning[J]. Nature, 521, 436-444(2015).

[56] PERERA L P, CARVALHO J P, SOARES C G. Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions[J]. Journal of Marine Science and Technology, 16, 84-99(2011).

[57] LEE S M, KWON K Y, JOH J. A fuzzy logic for autonomous navigation of marine vehicle satisfying COLREG guidelines[J]. International Journal of Control, Automation, and Systems, 2, 171-181(2004).

[58] TSOU M C, KAO S L, SU C M. Decision support from genetic algorithms for ship collision avoidance route planning and alerts[J]. Journal of Navigation, 63, 167-182(2010).

[70] [70] NIST. Framewk f improving critical infrastructure cybersecurity[EBOL]. (20180416)[20200501]. https:nvlpubs.nist.govnistpubsCSWPNIST.CSWP.04162018.pdf.