Keywords
Autonomous collision avoidance algorithm
Navigation experience
Quantitative model
Simulation test
Submitted : 2025-04-29
Accepted : 2025-05-14
Published : 2025-05-29
Abstract
This paper deeply explores the autonomous collision avoidance algorithm for intelligent ships, aiming to enhance the intelligence level and safety of ship collision avoidance by integrating navigation experience. An autonomous collision avoidance algorithm based on navigation experience is designed, a collision avoidance experience database is constructed, a quantitative model is established, and specific algorithm steps are implemented. The algorithm is verified and analyzed through simulation tests. The results show that the algorithm can effectively achieve autonomous ship collision avoidance in different scenarios, providing new ideas and methods for the development of intelligent ship collision avoidance technology.
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