Research on path planning for underactuated merchant ships based on maritime rules

Yongzheng Li; Lin Jiang; Haihua Zhang; Yi Chen

doi:10.1117/12.3039965

4 September 2024 Research on path planning for underactuated merchant ships based on maritime rules

Yongzheng Li, Lin Jiang, Haihua Zhang, Yi Chen

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132591L (2024) https://doi.org/10.1117/12.3039965
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

As the global economy and shipping industry continue to expand, transportation vessels are increasingly moving towards larger scales. This shift necessitates enhanced control performance and maneuverability for ships. This paper aims to bridge research gaps in the domain of collision risk management based on maritime rules, specifically focusing on intelligent collision avoidance strategies for underactuated merchant ships. The research integrates advancements by employing the MMG separation modeling and examining various algorithms to enhance autonomous navigation. By combining the improved artificial potential field method with the ship domain model, this study conducts ship simulation navigation experiments under different operational conditions. The primary objective is to develop a robust collision avoidance system that adheres to international maritime collision avoidance regulations, thereby increasing safety and efficiency in maritime operations. Future research will continue to refine these models and explore real-world applications to improve the reliability and practicality of collision management systems for commercial ships.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongzheng Li, Lin Jiang, Haihua Zhang, and Yi Chen "Research on path planning for underactuated merchant ships based on maritime rules", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132591L (4 September 2024); https://doi.org/10.1117/12.3039965

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