High voltage transmission line detection for uav based routing inspection

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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)
	2013
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
关键词	Detectors Electric lines Hough transforms Transmission line theory Unmanned aerial vehicles (UAV)
页码	554-558
中文摘要	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.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议主办者	IEEE RAS; IEEE IES; ASME; DSC; University of Wollongong
会议录	2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013
会议录出版者	IEEE Computer Society
会议录出版地	Washington, United States
语种	英语
ISBN号	978-1-4673-5319-9
WOS记录号	WOS:000328705300092
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/13916]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Cao YR,Zhu LL,Han JD,et al. High voltage transmission line detection for uav based routing inspection[C]. 见:2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013. Wollongong, NSW, Australia. July 9-12, 2013.