Paper
10 October 2023 Research progress and prospects of intelligent planning algorithms in navigation collision avoidance
Jiancheng Jing
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127990A (2023) https://doi.org/10.1117/12.3005997
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
With the development of the shipping industry, maritime transportation is preferred by more and more people, and ship collision is the first problem to be solved in intelligent navigation. Compared with collision avoidance algorithms for ground vehicles and air vehicles, there are still many problems to be solved in ship collision avoidance algorithms, among which the dynamic nature, safety, and complexity of environments will impact the development of reliable automatic collision avoidance algorithms. By analyzing the latest research on ship collision avoidance, the paper concludes that the current research mainly focuses on the rapidity, stability, and adaptability of various algorithms in complex situations, moreover, some suggestions and research directions are proposed for further research.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiancheng Jing "Research progress and prospects of intelligent planning algorithms in navigation collision avoidance", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127990A (10 October 2023); https://doi.org/10.1117/12.3005997
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KEYWORDS
Collision avoidance

Evolutionary algorithms

Algorithm development

Safety

Machine learning

Deep learning

Detection and tracking algorithms

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