High voltage transmission line detection for uav based routing inspection
文献类型：会议论文
| 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)
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| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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