Computationally efficient Bayesian tracking

Jason Aughenbaugh; Brian La Cour

doi:10.1117/12.919358

10 May 2012 Computationally efficient Bayesian tracking

Jason Aughenbaugh, Brian La Cour

Author Affiliations +

Proceedings Volume 8407, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012; 840705 (2012) https://doi.org/10.1117/12.919358
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

In this paper, we describe the progress we have achieved in developing a computationally efficient, grid-based Bayesian fusion tracking system. In our approach, the probability surface is represented by a collection of multidimensional polynomials, each computed adaptively on a grid of cells representing state space. Time evolution is performed using a hybrid particle/grid approach and knowledge of the grid structure, while sensor updates use a measurement-based sampling method with a Delaunay triangulation. We present an application of this system to the problem of tracking a submarine target using a field of active and passive sonar buoys.

Citation Download Citation

Jason Aughenbaugh and Brian La Cour "Computationally efficient Bayesian tracking", Proc. SPIE 8407, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012, 840705 (10 May 2012); https://doi.org/10.1117/12.919358

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