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Meeting	ACGS Committee Meeting 109 - Salt Lake City - March 2012
Agenda Location	9 SUBCOMMITTEE C – AVIONICS AND SYSTEM INTEGRATION 9.3 Vision Based Guidance of Small and Miniature Air Vehicles
Title	Vision Based Guidance of Small and Miniature Air Vehicles
Presenter	Randy Beard
Affiliation	BYU
Available Downloads*	presentation
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Abstract	Abstract Enhanced UAS Surveillance Using a Video Utility Metric Randy Beard BYU In search and rescue, target tracking, and other missions, Un- manned Air Systems (UASs) assist in accomplishing mission goals while minimizing risk to human personnel. By automating the plan- ning process we can reduce the workload for UAS operators while also optimizing the quality of sensor measurements. We propose a metric based on an existing image utility metric that estimates the utility of video captured by the onboard sensors. We then use this metric to autonomously compute the UAS path, the path of the sensor's optical axis along the terrain, and the zoom level via a novel staged path planner. We apply these algorithms to precompute UAS and sensor paths for a surveillance mission over a speci ed region. Bio: Randal W. Beard received the B.S. degree in electrical engineering from the University of Utah, Salt Lake City, in 1991, the M.S. degree in electrical engineering in 1993, the M.S. degree in mathematics in 1994, and the Ph.D. degree in electrical engineering in 1995, all from Rensselaer Polytechnic Institute, Troy, N.Y. Since 1996, he has been with the Electrical and Computer Engineering Department at Brigham Young University, Provo, UT, where he is currently a professor. His primary research focus is in autonomous systems, unmanned air vehicles, and multiple vehicle coordination and control.