Intelligent guidance in collision avoidance of maritime transportation
نویسندگان
چکیده
This paper focuses on an overview of an autonomous navigation system in maritime transportation that is supplied with intelligent guidance to avoid collision, while respecting the COLREGs rules and regulations and using expert knowledge in navigation for close quarter’s manoeuvres. The proposed collision avoidance process consists of two modules: a fuzzy logic based parallel decision making module and a Bayesian network based sequential action formulation module. Successful simulation results of the intelligent guidance in collision avoidance of maritime transportation that is capable of making multiple collision avoidance decisions and actions in order to avoid complex multi-vessel collision situations are also illustrated in this study.
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