Research on Water Surface Obstacle Detection Algorithms Based on Unmanned Ships Vision
TONG Jianfeng
YU Yu
Abstract：With the rapid advancement of digital technology,intelligent unmanned devices have made significant progress.Unmanned ships,as a branch of unmanned systems,are poised to become the future of ship development.Object detection is one of the core technologies enabling autonomous navigation for unmanned ships.By employing vision-based detection technology,un-manned ships can monitor and identify surrounding objects in real time,enabling them to take appropriate actions during emergen-cies and ensure safe navigation.To facilitate the progress of vision-based detection technology for unmanned ships,this paper pro-vides an overview of recent research in the field and summarizes improvement strategies and technical details based on unmanned ship vision.The paper also analyzes the challenges and issues encountered during the detection process of unmanned ships and pro-poses solutions.Lastly,the paper discusses the future directions for research in the field of unmanned ships vision.
Keywords：machine learningdeep learningunmanned shipsobject detection
Publication Date：2024-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 13-17,20 )