Autonomous Navigation And Collision Prediction Of Port Channel Based On Computer Vision And Lidar

This article discusses a study that aims to improve the safety and efficiency of port navigation through the use of artificial intelligence. The study proposes an enhanced algorithm that combines visual perception technology, artificial potential field method, and collision prediction models to optimize waterways and reduce ship collision accidents. The results show significant improvements in path length, time consumption, and collision risk, highlighting the potential of AI in autonomous navigation and collision prediction in port waterways.