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Deep reinforcement learning model for Multi-Ship collision avoidance decision making design implementation and performance analysis. [PDF]
Sci RepThis paper proposes a novel multi-ship collision avoidance decision-making model based on deep reinforcement learning (DRL). The model addresses the critical challenge of preventing ship collisions while maintaining efficient navigation in complex ...
Pan R, Zhang W, Wang S, Kang S.
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Optimized APF-ACO Algorithm for Ship Collision Avoidance and Path Planning
Journal of Marine Science and Engineering, 2023 The primary objective of this study is to investigate maritime collision avoidance and trajectory planning in the presence of dynamic and static obstacles during navigation.
Mingze Li +4 more
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Journal of Marine Science and EngineeringThe exploration of ship collision avoidance behavior characteristics can provide a theoretical basis for ship collision risk assessment and collision avoidance decision-making, which is significant for ensuring maritime navigation safety and the ...
Shipeng Wang +4 more
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Journal of Marine Science and EngineeringWith the development of artificial intelligence technology, the future water traffic environment will present a new pattern of coexistence of manned ships and unmanned ships, because unmanned ships are different from manned ships in situation ...
Jian Zheng +3 more
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Journal of Marine Science and Engineering, 2023 In this paper, combined with the improved artificial potential field (IAPF) method and the nonlinear model predictive control (NMPC) algorithm, a collision avoidance decision-making support scheme considering ship maneuverability and the International ...
Haibin Li +3 more
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Journal of Marine Science and Engineering, 2023 Due to the increasing number of transportation vessels, marine traffic has become more congested. According to the statistics, 89% to 95% of maritime accidents are related to human factors.
Wei Guan +3 more
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Journal of Marine Science and Engineering, 2022 The congestion of waterways can easily lead to traffic hazards. Moreover, according to the data, the majority of sea collisions are caused by human error and the failure to comply with the Convention on the International Regulation for the preventing ...
Guan Wei, Wang Kuo
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Collision-Avoidance Decision System for Inland Ships Based on Velocity Obstacle Algorithms
Journal of Marine Science and Engineering, 2022 Due to the complex hydrology and narrow channels of inland rivers, ship collision accidents occur frequently. The traditional collision-avoidance algorithms are often aimed at sea areas, and not often at inland rivers. To solve the problem of inland-ship
Guangyu Zhang +4 more
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BrodogradnjaShip collision avoidance has always been a concern and it is crucial for achieving safe navigation of ships at sea. There are many studies on ship collision avoidance in open water, but less attention on coastal waters considering the uncertainty of ...
Jianjie Gao, Yuquan Zhang
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Ship Collision Avoidance Methods: State-of-the-Art
Safety Science, 2020 Collision prevention is critical for navigation safety at sea. At early ages, researchers aimed at developing navigational assistance systems for enhancing situational awareness of human operators as human is at the core of collision avoidance. Recently,
Yamin Huang +2 more
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