High speed Automatic Power Line Detection and Tracking for a UAV-Based Inspection

摘要：

Detection and tracking power lines in complex environments is one of the most important and challenging tasks for UAV-based inspection. This paper presents a novel method of power lines detection and tracking. Firstly,the Hough transform is used to extract line segments of power lines. Secondly,according to the characteristics of power lines in the aerial images,we use K-means in the Hough space to cluster and filter the straight lines,and then detect power lines. Finally,a Kalman filter is used to track the power lines in the Hough space,based on the continuity of a video sequence. The experimental results demonstrate that the proposed approach is effective for automatic power line detection and tracking in complex environments.

关键词： Power lines detection and trackins Iloush transform Ostu Kalman filler UAV

作者: Jingjing Zhang Liang Liu Binhai Wang Xiguang Chen Qian Wang Tianru Zheng

作者单位: Shandong Electric Power Research Institute Electric Power Robotics Laboratory of State Grid Corporation Jinan,Shandong,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 378-381

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）