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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)
作者部门机器人学研究室
会议名称2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013
会议日期July 9-12, 2013
会议地点Wollongong, NSW, Australia
会议主办者IEEE RAS; IEEE IES; ASME; DSC; University of Wollongong
会议录名称2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013
出版者IEEE Computer Society
出版地Washington, United States
2013
页码554-558
收录类别EI ; CPCI(ISTP)
EI收录号20133816747479
WOS记录号WOS:000328705300092
产权排序1
ISBN号978-1-4673-5319-9
关键词Detectors Electric Lines Hough Transforms Transmission Line Theory Unmanned Aerial Vehicles (Uav)
摘要The 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.
语种英语
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被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13916
专题机器人学研究室
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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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