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Proceedings Paper

Evidential reasoning tracker: further steps toward a unified theory of sensor fusion
Author(s): Arijit Mahalanabis; Robert N. Lobbia; Quan Bach Nguyen
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Paper Abstract

The discipline of Sensor and Data Fusion in increasingly characterized by a set of disparate tools and principles. An initial consideration of these principles belies any theoretical coherence or commonality. Yet secondary inspection may begin to reveal a fundamental basis that ties together these algorithms. This paper represents the second in a multi-part discussion that attempts to explore this common basis. In particular, while our first discussion centered around the use of a traditional state estimation technique (Kalman Filtering) to perform decision-level identify fusion, in the paper we take the opposite approach, using a traditional decision-level ID technique (Dempster-Shafer Calculus) to do state estimation.

Paper Details

Date Published: 26 November 2001
PDF: 15 pages
Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); doi: 10.1117/12.492811
Show Author Affiliations
Arijit Mahalanabis, The Boeing Co./Phantom Works (United States)
Robert N. Lobbia, The Boeing Co./Phantom Works (United States)
Quan Bach Nguyen, The Boeing Co./Phantom Works (United States)

Published in SPIE Proceedings Vol. 4473:
Signal and Data Processing of Small Targets 2001
Oliver E. Drummond, Editor(s)

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