Real-time On-board Detection of Components and Faults in an Autonomous UAV System for Power Line Inspection
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1. Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmmark, --- Select a Country ---
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SCITEPRESS - Science and Technology Publications
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Power Transmission Line Component Detection using YOLO V3 on Raspberry Pi;2023 22nd International Symposium on Communications and Information Technologies (ISCIT);2023-10-16
2. Research on patrol platform of fixed wing UAV for ultra long distance transmission and distribution lines;3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023);2023-07-21
3. Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure;Applied Sciences;2023-01-17
4. Digital Transformation on Power Transmission Line Inspection using Autonomous Drone and Deep Learning;2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI);2022-12-09
5. Landing System Development Based on Inverse Homography Range Camera Fusion (IHRCF);Sensors;2022-02-27
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