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Computer vision onboard UAVs for civilian tasks

Campoy, Pascual, Correa, Juan F., Mondragón, Ivan, Martínez, Carol, Olivares, Miguel, Mejias, Luis, & Artieda, Jorge (2008) Computer vision onboard UAVs for civilian tasks. In Valavanis, Kimon P., Oh, Paul, & Piegl, Les A. (Eds.) Unmanned Aircraft Systems: International Symposium on Unmanned Aerial Vehicles, UAV '08. Springer Netherlands, Dordrecht ; London, pp. 105-135.

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Abstract

Computer vision is much more than a technique to sense and recover environmental information from an UAV. It should play a main role regarding UAVs’ functionality because of the big amount of information that can be extracted, its possible uses and applications, and its natural connection to human driven tasks, taking into account that vision is our main interface to world understanding. Our current research’s focus lays on the development of techniques that allow UAVs to maneuver in spaces using visual information as their main input source. This task involves the creation of techniques that allow an UAV to maneuver towards features of interest whenever a GPS signal is not reliable or sufficient, e.g. when signal dropouts occur (which usually happens in urban areas, when flying through terrestrial urban canyons or when operating on remote planetary bodies), or when tracking or inspecting visual targets—including moving ones—without knowing their exact UMT coordinates. This paper also investigates visual serving control techniques that use velocity and position of suitable image features to compute the references for flight control. This paper aims to give a global view of the main aspects related to the research field of computer vision for UAVs, clustered in four main active research lines: visual serving and control, stereo-based visual navigation, image processing algorithms for detection and tracking, and visual SLAM. Finally, the results of applying these techniques in several applications are presented and discussed: this study will encompass power line inspection, mobile target tracking, stereo distance estimation, mapping and positioning.

Impact and interest:

15 citations in Web of Science®
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65 since deposited on 16 Feb 2010
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ID Code: 30977
Item Type: Book Chapter
Keywords: Unmanned Aerial Vehicles, Computer vision, Aerial Robotics
DOI: 10.1007/978-1-4020-9137-7
ISBN: 978-1-4020-9136-0
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) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Avionics (090105)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2008 Springer Netherlands
Deposited On: 16 Feb 2010 13:00
Last Modified: 28 May 2012 08:34

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