10 February 2021 Algorithm of object localization applied on high-voltage power transmission lines based on line stereo matching
Fashuai Tang, Qi Gao, Zongzhan Du
Author Affiliations +
Abstract

The algorithm designing of object localization is one of the key technologies in the research field of high-voltage power transmission line inspection robot. We present an obstacle localization method based on line stereo matching to solve the problems remaining in the current obstacle localization algorithms such as the weak capacity of resisting distraction, the low localization precision, and the extra prior conditions. The proposed algorithm regards line as the element unit for stereo matching and adopts Earth mover’s distance as similarity measurement criterion. In addition, it can remove false matching points through the condition of distance constraint and the distribution information of depth. Finally, we give all sampling points on obstacle different weights according to the distance between the points and obstacle center, through which the weighted mean depth of obstacle is obtained. The experimental result shows that the mean relative localization error is 2.697% and the fluctuating range is 1.11% to 3.58%, which means the localization precision is high and the error fluctuation is small. So this algorithm can meet the demand of obstacle localization for high-voltage power transmission lines inspection robot efficiently.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2021/$28.00 © 2021 SPIE
Fashuai Tang, Qi Gao, and Zongzhan Du "Algorithm of object localization applied on high-voltage power transmission lines based on line stereo matching," Optical Engineering 60(2), 023101 (10 February 2021). https://doi.org/10.1117/1.OE.60.2.023101
Received: 23 July 2020; Accepted: 14 December 2020; Published: 10 February 2021
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Inspection

Optical engineering

Error analysis

Visualization

Calibration

Image processing

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