Multiplatform information-based sensor management: an inverted UAV demonstration

Chris Kreucher; John Wegrzyn; Michel Beauvais; Ralph Conti

doi:10.1117/12.719395

1 May 2007 Multiplatform information-based sensor management: an inverted UAV demonstration

Chris Kreucher, John Wegrzyn, Michel Beauvais, Ralph Conti

Proceedings Volume 6578, Defense Transformation and Net-Centric Systems 2007; 65780Y (2007) https://doi.org/10.1117/12.719395
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Chris Kreucher, John Wegrzyn, Michel Beauvais, and Ralph Conti "Multiplatform information-based sensor management: an inverted UAV demonstration", Proc. SPIE 6578, Defense Transformation and Net-Centric Systems 2007, 65780Y (1 May 2007); https://doi.org/10.1117/12.719395

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