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High voltage transmission line detection for uav based routing inspection
Cao YR(曹蔚然); Zhu LL(朱琳琳); Han JD(韩建达); Wang TR(王天然); Du YK(杜英魁)
Department机器人学研究室
Conference Name2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013
Conference DateJuly 9-12, 2013
Conference PlaceWollongong, NSW, Australia
Author of SourceIEEE RAS; IEEE IES; ASME; DSC; University of Wollongong
Source Publication2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013
PublisherIEEE Computer Society
Publication PlaceWashington, United States
2013
Pages554-558
Indexed ByEI ; CPCI(ISTP)
EI Accession number20133816747479
WOS IDWOS:000328705300092
Contribution Rank1
ISBN978-1-4673-5319-9
KeywordDetectors Electric Lines Hough Transforms Transmission Line Theory Unmanned Aerial Vehicles (Uav)
AbstractThe Hough Transform (HT), the Radon Transform (RT) and the Line Segment Detector (LSD) are the most well-known methods for line detection. But the HT and RT methods cost large computing consumption and always resulting a poor performance with many outliers. The LSD method is not effective to the real application of complex background condition. In this paper, a boundary search radon transform (BSRT) approach is proposed for high voltage transmission line detection in Unmanned Aerial Vehicle (UAV) based routing inspection. The core idea assumes that the initial point of an integral line is on one of the four image boundaries, so it isn't always necessary to analyze all points in an image and a new line detection strategy is designed. Comparing to the HT, RT and LSD methods, our method is validated by the experimental results to be fast, efficient and reliable to complex environments. © 2013 IEEE.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/13916
Collection机器人学研究室
Recommended Citation
GB/T 7714
Cao YR,Zhu LL,Han JD,et al. High voltage transmission line detection for uav based routing inspection[C]//IEEE RAS; IEEE IES; ASME; DSC; University of Wollongong. Washington, United States:IEEE Computer Society,2013:554-558.
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