Eighth IEEE Workshop on Applications of Computer Vision (WACV'07) Performance Evaluation of Vision-Based Navigation and Landing on a Rotorcraft Unmanned Aerial Vehicle Austin, Texas February 21-February 22 ISBN: 0-7695-2794-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WACV.2007.48
A Rotorcraft UAV provides an ideal experimental platform for vision-based navigation. This paper describes the flight tests of the US Army PALACE project, which implements Moravec?s pseudo-normalized correlation tracking algorithm. The tracker uses the movement of the landing site in the camera, a laser range, and the aircraft attitude from an IMU to estimate the relative motion of the UAV. The position estimate functions as a GPS equivalent to enable the rotorcraft to maneuver without the aid of GPS.With GPS data as a baseline, tests were performed in simulation and in flight that measure the accuracy of the position estimation.
Citation:
David Hubbard, Bryan Morse, Colin , Mark Tischler, Timothy McLain, "Performance Evaluation of Vision-Based Navigation and Landing on a Rotorcraft Unmanned Aerial Vehicle," wacv, pp.5, Eighth IEEE Workshop on Applications of Computer Vision (WACV'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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