Research on sensory data-based route planning algorithm for unmanned ships

Nanhang Luo; Fangyu Hu; Zhaowei Du; Kunming Zhao; Zijie Yan

doi:10.1117/12.2625050

13 December 2021 Research on sensory data-based route planning algorithm for unmanned ships

Nanhang Luo, Fangyu Hu, Zhaowei Du, Kunming Zhao, Zijie Yan

Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120871I (2021) https://doi.org/10.1117/12.2625050
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China

Abstract

The rapid development of artificial intelligence, especially deep learning technology, has made autonomous and unmanned ships become one of the directions for developing the shipping industry. As a fully automated surface robot, an unmanned ship can navigate autonomously in complex marine environments and accomplish important tasks for humans. The implementation of autonomous navigation capability relies on the ships’ accurate perception of the surrounding environment, but existing unmanned ships’ capability of perceiving the surrounding environment cannot meet the requirements of autonomous navigation for timeliness and accuracy under rough sea and high-speed navigation. In view of that, this paper focuses on local chart’s update service technology based on sensory data from unmanned ships.

Citation Download Citation

Nanhang Luo, Fangyu Hu, Zhaowei Du, Kunming Zhao, and Zijie Yan "Research on sensory data-based route planning algorithm for unmanned ships", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120871I (13 December 2021); https://doi.org/10.1117/12.2625050

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