Application of Bayes nets in sensor fusion

Kuo-Chu Chang; Clayton V. Stewart

doi:10.1117/12.172543

1 February 1994 Application of Bayes nets in sensor fusion

Kuo-Chu Chang, Clayton V. Stewart

Author Affiliations +

Proceedings Volume 2093, Substance Identification Analytics; (1994) https://doi.org/10.1117/12.172543
Event: Substance Identification Technologies, 1993, Innsbruck, Austria

Abstract

This paper gives an overview of the Bayesian network technology and a description of its potential application for data fusion. The Bayesian network technology is a set of representation techniques for encoding uncertain beliefs using probability theory and reasoning techniques for drawing inferences from such representatives. The technology has been successfully applied both to tasks of assessment under uncertainty and tasks of decision- making under uncertainty.

Citation Download Citation

Kuo-Chu Chang and Clayton V. Stewart "Application of Bayes nets in sensor fusion", Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); https://doi.org/10.1117/12.172543

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