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Real-time power line extraction from unmanned aerial system video images

Yuee, Liu & Mejias, Luis (2012) Real-time power line extraction from unmanned aerial system video images. In 2nd International Conference on Applied Robotics for the Power Industry, 11-13 September 2012, ETH Zurich, Switzerland.

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Accepted Version.

Abstract

In this paper a real-time vision based power line extraction solution is investigated for active UAV guidance. The line extraction algorithm starts from ridge points detected by steerable filters. A collinear line segments fitting algorithm is followed up by considering global and local information together with multiple collinear measurements. GPU boosted algorithm implementation is also investigated in the experiment. The experimental result shows that the proposed algorithm outperforms two baseline line detection algorithms and is able to fitting long collinear line segments. The low computational cost of the algorithm make suitable for real-time applications.

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96 since deposited on 24 Sep 2012
28 in the past twelve months

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ID Code: 53785
Item Type: Conference Paper
Additional URLs:
Keywords: Gaussian Kernel, Line Detection, Line Segment Grouping, Power Line, Real-time Application, Ridge Points, Steerable Filter, Unmanned Aerial System.
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the author]
Deposited On: 24 Sep 2012 21:55
Last Modified: 24 Apr 2013 19:14

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