Paper
8 March 2023 Laser point cloud location-based research on patrol inspection of transmission line UAV
Dongyang Li, Yi Ding, Ge Song, Dehan Xue, Chengming Jin
Author Affiliations +
Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 125860R (2023) https://doi.org/10.1117/12.2667872
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China
Abstract
In order to realize the autonomous inspection of Unmanned Aerial Vehicle (UAV) on transmission line and reduce the manual flight control operation, this paper proposes a UAV autonomous inspection system based on accurate positioning of laser point cloud. Through the high-precision and three-dimensional laser point cloud data, we can achieve autonomous route planning, independent generation, so as to finally control the whole process of UAV unmanned patrol flight. The testing results show that the UAV based on accurate positioning of laser point cloud has the ability of space collision detection and automatic wall barrier during autonomous inspection flight, which can effectively ensure the flight safety of UAV, reduce the potential risk of power grid, improve transmission line inspection efficiency and operation reliability, and provide a new development direction for follow-up transmission line inspection exploration.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dongyang Li, Yi Ding, Ge Song, Dehan Xue, and Chengming Jin "Laser point cloud location-based research on patrol inspection of transmission line UAV", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 125860R (8 March 2023); https://doi.org/10.1117/12.2667872
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KEYWORDS
Unmanned aerial vehicles

Inspection

Point clouds

Data modeling

Power grids

LIDAR

Image segmentation

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