Abstract
COMPUTER VISION AND TARGET LOCALIZATION ALGORITHMSFOR AUTONOMOUS UNMANNED AERIAL VEHICLES
M.S. Thesis in Aerospace Engineering
by
James Alton Ross
May, 2008
The Unmanned Aerial Vehicle (UAV) field is currently experiencing exponential growth in both military and civilian applications. An increase in the number of UAVs operating at once using more complex behavior has shown shortfalls that will require more automation in the future. This paper will detail the work of autonomous computer vision identification and target localization of ground targets from UAVs that is being pursued by the Pennsylvania State University and Applied Research Lab (ARL). Flight test results of the algorithms developed will also be presented.
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Lyle N. Long
Distinguished Professor of Aerospace Engineering, Bioengineering, and Mathematics |