Open Access Paper
28 December 2022 Research on the safe and efficient collision avoidance methods for large autonomous merchant ships in open and busy waters
Qiaochan Yu, Jingyu Yang, Xiongfei Geng, Zhuocheng Lai, Xuliang Mu
Author Affiliations +
Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125064Q (2022) https://doi.org/10.1117/12.2662341
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
According to the actual needs of autonomous navigation and safety control of ships in open and busy waters, this study puts forward a complete technical chain of “autonomous navigation environment construction - collision avoidance and track control algorithm research - verification and incremental update of real ship data”, and gives the specific technical scheme and process route. That is to construct the virtual reality integrated simulation environment of ship autonomous navigation. Considering the multiple responses of large merchant ships, the ship handling model is coupled with the environment, and the ship autonomous collision avoidance algorithm model is established. By comparing the VDR data and simulation results, the algorithm and model are constantly updated, so as to finally realize the safe and efficient autonomous collision avoidance decision-making ability of ship intelligent navigation. The research results have important theoretical and technical support for expanding and improving the technical methods of ship navigation autonomous decision-making, and finally realizing the commercial application of ship intelligent navigation.
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Qiaochan Yu, Jingyu Yang, Xiongfei Geng, Zhuocheng Lai, and Xuliang Mu "Research on the safe and efficient collision avoidance methods for large autonomous merchant ships in open and busy waters", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125064Q (28 December 2022); https://doi.org/10.1117/12.2662341
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KEYWORDS
Collision avoidance

Data modeling

Motion models

Mathematical modeling

3D modeling

Environmental sensing

Visual process modeling

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