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Open AccessArticle

Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision

by 1, 1,2,*, 1, 1 and 1
1
College of Internet of Things Engineering, Hohai University, Changzhou 213022, China
2
The Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou 213022, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(2), 230; https://doi.org/10.3390/rs13020230
Received: 15 December 2020 / Revised: 2 January 2021 / Accepted: 7 January 2021 / Published: 11 January 2021
(This article belongs to the Special Issue Near Surface Remote Sensing Using Unmanned Systems)
Unmanned aerial vehicles (UAVs) have become important tools for power transmission line inspection. Cameras installed on the platforms can efficiently obtain aerial images containing information about power equipment. However, most of the existing inspection systems cannot perform automatic real-time detection of transmission line components. In this paper, an automatic transmission line inspection system incorporating UAV remote sensing with binocular visual perception technology is developed to accurately detect and locate power equipment in real time. The system consists of a UAV module, embedded industrial computer, binocular visual perception module, and control and observation module. Insulators, which are key components in power transmission lines as well as fault-prone components, are selected as the detection targets. Insulator detection and spatial localization in aerial images with cluttered backgrounds are interesting but challenging tasks for an automatic transmission line inspection system. A two-stage strategy is proposed to achieve precise identification of insulators. First, candidate insulator regions are obtained based on RGB-D saliency detection. Then, the skeleton structure of candidate insulator regions is extracted. We implement a structure search to realize the final accurate detection of insulators. On the basis of insulator detection results, we further propose a real-time object spatial localization method that combines binocular stereo vision and a global positioning system (GPS). The longitude, latitude, and height of insulators are obtained through coordinate conversion based on the UAV’s real-time flight data and equipment parameters. Experiment results in the actual inspection environment (220 kV power transmission line) show that the presented system meets the requirement of robustness and accuracy of insulator detection and spatial localization in practical engineering. View Full-Text
Keywords: unmanned aerial vehicle (UAV); power transmission line inspection; binocular vision; insulator detection; spatial localization unmanned aerial vehicle (UAV); power transmission line inspection; binocular vision; insulator detection; spatial localization
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MDPI and ACS Style

Ma, Y.; Li, Q.; Chu, L.; Zhou, Y.; Xu, C. Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision. Remote Sens. 2021, 13, 230. https://doi.org/10.3390/rs13020230

AMA Style

Ma Y, Li Q, Chu L, Zhou Y, Xu C. Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision. Remote Sensing. 2021; 13(2):230. https://doi.org/10.3390/rs13020230

Chicago/Turabian Style

Ma, Yunpeng; Li, Qingwu; Chu, Lulu; Zhou, Yaqin; Xu, Chang. 2021. "Real-Time Detection and Spatial Localization of Insulators for UAV Inspection Based on Binocular Stereo Vision" Remote Sens. 13, no. 2: 230. https://doi.org/10.3390/rs13020230

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