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Proceedings Paper

Multiplatform information-based sensor management: an inverted UAV demonstration
Author(s): Chris Kreucher; John Wegrzyn; Michel Beauvais; Ralph Conti
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Paper Abstract

This paper describes an experimental demonstration of a distributed, decentralized, low communication sensor management algorithm. We first review the mathematics surrounding the method, which includes a novel combination of particle filtering for predictive density estimation and information theory for maximizing information flow. Earlier work has shown the utility via Monte Carlo simulations. Here we present a laboratory demonstration to illustrate the utility and to provide a stepping stone toward full-up implementation. To that end, we describe an inverted Unmanned Aerial Vehicle (UAV) test-bed developed by The General Dynamics Advanced Information Systems (GDAIS) Michigan Research and Development Center (MRDC) to facilitate and promote the maturation of the research algorithm into an operational, field-able system. Using a modular design with wheeled robots as surrogates to UAVs, we illustrate how the method is able to detect and track moving targets over a large surveillance region by tasking a collection of limited field of view sensors.

Paper Details

Date Published: 1 May 2007
PDF: 11 pages
Proc. SPIE 6578, Defense Transformation and Net-Centric Systems 2007, 65780Y (1 May 2007); doi: 10.1117/12.719395
Show Author Affiliations
Chris Kreucher, General Dynamics Michigan Research and Development Ctr. (United States)
John Wegrzyn, General Dynamics Michigan Research and Development Ctr. (United States)
Michel Beauvais, General Dynamics Michigan Research and Development Ctr. (United States)
Ralph Conti, General Dynamics Michigan Research and Development Ctr. (United States)


Published in SPIE Proceedings Vol. 6578:
Defense Transformation and Net-Centric Systems 2007
Raja Suresh, Editor(s)

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