舰船电子工程2024，Vol.44Issue(12)：13-17,20,6.DOI:10.3969/j.issn.1672-9730.2024.12.004
基于无人船视觉的水面障碍物检测算法研究
Research on Water Surface Obstacle Detection Algorithms Based on Unmanned Ships Vision
佟剑峰 1于雨1
作者信息
- 1. 齐鲁工业大学(山东省科学院)海洋技术科学学院 青岛 266000
- 折叠
摘要
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.关键词
机器学习/深度学习/无人船/目标检测Key words
machine learning/deep learning/unmanned ships/object detection分类
信息技术与安全科学引用本文复制引用
佟剑峰,于雨..基于无人船视觉的水面障碍物检测算法研究[J].舰船电子工程,2024,44(12):13-17,20,6.
