Fast power line detection and localization using steerable filter for active UAV guidance
Data(s) |
2012
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Resumo |
In this paper we present a fast power line detection and localisation algorithm as well as propose a high-level guidance architecture for active vision-based Unmanned Aerial Vehicle (UAV) guidance. The detection stage is based on steerable filters for edge ridge detection, followed by a line fitting algorithm to refine candidate power lines in images. The guidance architecture assumes an UAV with an onboard Gimbal camera. We first control the position of the Gimbal such that the power line is in the field of view of the camera. Then its pose is used to generate the appropriate control commands such that the aircraft moves and flies above the lines. We present initial experimental results for the detection stage which shows that the proposed algorithm outperforms two state-of-the-art line detection algorithms for power line detection from aerial imagery. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/53977/1/ISPRS2012-Y._Liu_Full_paper_v6.pdf http://www.isprs2012.org/ Liu, Yuee, Mejias, Luis, & Li, Zhengrong (2012) Fast power line detection and localization using steerable filter for active UAV guidance. In 12th International Society for Photogrammetry & Remote Sensing (ISPRS2012), 25 August – 1 September 2012, Melbourne Convention and Exhibition Centre, Melbourne, VIC. |
Direitos |
Copyright 2012 [please consult the author] |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080104 Computer Vision #090104 Aircraft Performance and Flight Control Systems #090905 Photogrammetry and Remote Sensing #line detection, #steerable filter, #oriented filter, #Gaussian kernel, power line, UAV guidance |
Tipo |
Conference Paper |