Research on automatic classification of point cloud scanned by lidar during power-line patrol

YOU Anqing; PAN Xudong; ZHAO Ping; PAN Wenwu

doi:10.5768/JAO201940.0602005

Journal of Applied Optics > 2019 > 40(6): 1077-1083. > DOI: 10.5768/JAO201940.0602005

YOU Anqing, PAN Xudong, ZHAO Ping, PAN Wenwu. Research on automatic classification of point cloud scanned by lidar during power-line patrol[J]. Journal of Applied Optics, 2019, 40(6): 1077-1083. DOI: 10.5768/JAO201940.0602005

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Research on automatic classification of point cloud scanned by lidar during power-line patrol

YOU Anqing^{1, 2,},
PAN Xudong^{1, 2},
ZHAO Ping²,
PAN Wenwu²

1.
Key Laboratory of Science and Technology on High Energy Laser, China Academy of Engineering Physics, Mianyang 621900, China
2.
Institute of Applied Electronics, China Academy of Engineering Physics, Mianyang 621900, China

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Received Date: June 16, 2019
Revised Date: September 09, 2019

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Abstract

Abstract

For 3D laser point cloud scanned by lidar on power lines, an automatic method was designed to divide point cloud into 3 types: point of lines, point of pylons, and point of ground objects. This process can lay essential foundation for spatial distance check in power transmission system. The core of the method is making full use of global statistical features of point cloud instead of local features, thereby maximally prevented limitation of the algorithm. According to dozens of practical tests from State Grids, the automation and universality of this method are satisfactory, which largely reduce the work usually laborious in traditional classification with commercial softwares by half-automatical interactive process, and shorten the average processing time from about 1 hour to several seconds, greatly improve working efficiency and userexperience.
- Lidar,
- 3D point cloud,
- power line,
- point cloud classification

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References (15)

References

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Research on automatic classification of point cloud scanned by lidar during power-line patrol