Title :
Visual inspection of power lines by U.A.S.
Author :
Gerke, Michael ; Seibold, Peter
Author_Institution :
Dept. of Electr. Eng., FernUniv. in Hagen, Hagen, Germany
Abstract :
Unmanned aerial systems (UAS) can be used nowadays for automatic visual inspection of power lines. Two challenging problems need to be solved: The detection of the power lines and the tracking of the lines. This paper presents a method for vision systems to extract power lines from cluttered natural backgrounds e.g. trees, cloudy skies. By means of range filters, some morphological operations, Canny operator and Hough transformation this separation is carried out, which results in binary images containing the detected lines only. These images can be further processed for inspection of power lines and pylons.
Keywords :
automatic optical inspection; autonomous aerial vehicles; computer vision; electrical maintenance; electrical safety; feature extraction; filters; optical tracking; power cables; power engineering computing; power overhead lines; Canny operator; Hough transformation; automatic visual inspection; cluttered natural background; morphological operations; power lines tracking; range filter; unmanned aerial system; vision systems; Image color analysis; Image edge detection; Inspection; Matched filters; Morphological operations; Transforms; Visualization; Image processing; Power Line detection and inspection; Unmanned aerial Systems;
Conference_Titel :
Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
Conference_Location :
Iasi
DOI :
10.1109/ICEPE.2014.6970074
