Paper
27 October 2023 A method of laser point cloud electric line positioning for drone avoidance
Xintao Zhu, Xianwen Zeng
Author Affiliations +
Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 1292215 (2023) https://doi.org/10.1117/12.3008611
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China
Abstract
In response to the problem of drone avoidance problems under low energy visibility, a laser point cloud power line positioning method was proposed. This method solves ground equations by POS data instead of traditional iterative methods to improve system real time performance. Then reduce the number of clouds through sub-sampling. Then use Euclidean clustering to separate target point clouds. Because the power line point cloud is different from the targets such as common vehicles, architecture and other goals, has low density and non-rigidity characteristics, we use the point cloud registration method to obtain the power line position. For this purpose, this method has built a power line model with a range of ten meters and collects multiple power line cloud data as experimental materials. The results show that the method can obtain the target power line position quickly and accurately in the selected scenes.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xintao Zhu and Xianwen Zeng "A method of laser point cloud electric line positioning for drone avoidance", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 1292215 (27 October 2023); https://doi.org/10.1117/12.3008611
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KEYWORDS
Point clouds

Data modeling

Matrices

Clouds

Detection and tracking algorithms

Picosecond phenomena

Tunable filters

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