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- W3128788045 abstract "Ship automatic collision avoidance is the key technology of unmanned ship. Aiming at the problem of computational time of collision avoidance decision-making for multi-ship encounter situations, a novel fast decision-making method for ship’s course altering for collision avoidance is proposed. To reduce the number of calculation targets, cluster analysis is introduced to classify multiple target ships with similar attributes into one group ship. Under the constraints of International Regulations for Preventing Collisions at Sea, candidate solutions are determined based on own ship’s length and encounter situation. Taking the voyage losses as the objective function, a deterministic optimization algorithm is used to rapidly obtain the optimal course altering decision for collision avoidance in the global scope. The simulation results show that the method is safe and efficient, and can provide decision support for the automatic collision avoidance of ships." @default.
- W3128788045 created "2021-02-15" @default.
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- W3128788045 date "2020-11-06" @default.
- W3128788045 modified "2023-10-14" @default.
- W3128788045 title "A Novel Fast Decision-making Method for Ship’s Course Altering for Collision Avoidance" @default.
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- W3128788045 doi "https://doi.org/10.1109/cac51589.2020.9327213" @default.
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