Unmanned Aerial Vehicles UAVs attitude, height, motion estimation and control using visual systems

Mondragon, Ivan, Olivares, Miguel, Campoy, Pascual, Martinez, Carol, & Mejias, Luis (2010) Unmanned Aerial Vehicles UAVs attitude, height, motion estimation and control using visual systems. Autonomous Robots, 29(1), pp. 17-34.

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This paper presents an implementation of an aircraft pose and motion estimator using visual systems as the principal sensor for controlling an Unmanned Aerial Vehicle (UAV) or as a redundant system for an Inertial Measure Unit (IMU) and gyros sensors. First, we explore the applications of the unified theory for central catadioptric cameras for attitude and heading estimation, explaining how the skyline is projected on the catadioptric image and how it is segmented and used to calculate the UAV’s attitude. Then we use appearance images to obtain a visual compass, and we calculate the relative rotation and heading of the aerial vehicle. Additionally, we show the use of a stereo system to calculate the aircraft height and to measure the UAV’s motion. Finally, we present a visual tracking system based on Fuzzy controllers working in both a UAV and a camera pan and tilt platform. Every part is tested using the UAV COLIBRI platform to validate the different approaches, which include comparison of the estimated data with the inertial values measured onboard the helicopter platform and the validation of the tracking schemes on real flights.

Impact and interest:

33 citations in Scopus
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19 citations in Web of Science®

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ID Code: 31371
Item Type: Journal Article
Refereed: Yes
Keywords: Unmanned Aerial Vehicles, Computer vision, Visual control and estimation
DOI: 10.1007/s10514-010-9183-2
ISSN: 1573-7527
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) > 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 2010 Please consult the authors.
Deposited On: 18 Mar 2010 05:29
Last Modified: 27 May 2012 23:16

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