Keywords
vision-guided landing, autonomous landing, UAV, unmanned aircraft
Abstract
This paper outlines a method for using vision-based feedback to accurately land a MAV on a visually identifiable target of approximately known location. The method presented is robust to wind, capable of handling both stationary and moving targets, and capable of cor- recting for camera misalignment, state estimation biases, and parameter estimation biases. Landing results from actual flight tests are presented which demonstrate the effectiveness of the proposed method.
Original Publication Citation
Duncan Blake Barber, Tim McLain, and Barrett Edwards. "Vision-Based Landing of Fixed-Wing Miniature Air Vehicles". Journal of Aerospace Computing Information and Communication 03/2009; 6(3):1-20. DOI: 10.2514/1.36201
BYU ScholarsArchive Citation
Barber, Blake; McLain, Timothy; and Edwards, Barrett, "Vision-based Landing of Fixed-wing Miniature Air Vehicles" (2007). Faculty Publications. 1501.
https://scholarsarchive.byu.edu/facpub/1501
Document Type
Peer-Reviewed Article
Publication Date
2007-5
Permanent URL
http://hdl.lib.byu.edu/1877/3436
Publisher
AIAA
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Mechanical Engineering
Copyright Status
Barber, D.B., McLain, T.W., Taylor, C., and Beard, R.W. Vision-based Landing of Fixed-wing Miniature Air Vehicles, Proceedings of the 2007 AIAA Infotech@Aerospace Conference, AIAA 2007-2984, May 2007, Rohnert Park, CA. doi: 10.2514/6.2007-2984
Copyright Use Information
http://lib.byu.edu/about/copyright/