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题名: High voltage transmission line detection for uav based routing inspection
作者: 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: 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
出版日期: 2013
页码: 554-558
收录类别: CPCI(ISTP) ; EI
ISBN号: 9781467353199
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13916
Appears in Collections:机器人学研究室_会议论文

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