6卷第9期
A Lightweight Real-time Detection System for Power Line Defects Based on DartNet-YOLO
A Lightweight Real-time Detection System for Power Line Defects Based on DartNet-YOLO
- 2025年6卷第9期 页码：150-156
DOI：10.47297/taposatWSP2633-456930.20250609
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Daohan Liu Northwest A&F University
Xiyong Yuan Mechanical Engineering School, University of Shanghai for Science and Technology
Haoyu Liu College of computer science, Beijing Information Science&Technology University
Tianjun Yi School of Physics and Electronic Sciences, Changsha University of Science and Technology
Zhang yu College of Science, China Jiliang University
Weihang Xue Shandong Technology and Business University
Zhaoyu Liu Shandong Technology and Business University
Haoyu Zhang Institute of Aeronautics and Astronautics, University of Electronic Science and Technology of China
相关机构
Northwest A&F University
Mechanical Engineering School, University of Shanghai for Science and Technology
College of computer science, Beijing Information Science&Technology University
School of Physics and Electronic Sciences, Changsha University of Science and Technology
College of Science, China Jiliang University
