Research on coding of collision avoidance behavior in ship intelligent navigation

Qiaochan Yu; Jingyu Yang; Xiangjun Yin; Xiongfei Geng

doi:10.1117/12.3009454

11 October 2023 Research on coding of collision avoidance behavior in ship intelligent navigation

Qiaochan Yu, Jingyu Yang, Xiangjun Yin, Xiongfei Geng

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181L (2023) https://doi.org/10.1117/12.3009454
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

In order to realize the machine-independent decision-making and control of ship intelligent navigation, this paper explores and builds a universal and practical ship-driving machine language system, analyzes the command requirements of driving behavior and ship state according to the three collision avoidance behaviors of ship navigation, and creatively designs the coding form of ship driving behavior index and ship state index by using 01 code and ILP method, so as to provide a man-machine and machine-machine collaborative dialogue for ship intelligent navigation. And the intelligent development of shipping provides important basic theory and technical support.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qiaochan Yu, Jingyu Yang, Xiangjun Yin, and Xiongfei Geng "Research on coding of collision avoidance behavior in ship intelligent navigation", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181L (11 October 2023); https://doi.org/10.1117/12.3009454

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