Translator Disclaimer
Paper
10 May 2012 Computationally efficient Bayesian tracking
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
14 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top