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Proceedings Paper

Decision-level data fusion using Bayesian inference
Author(s): John Parish
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Paper Abstract

This paper describes a blackboard system for integrating observations from multiple sensors. Multiple sensors report observations to the blackboard system. The blackboard system correlates the observations to a set of active models, and the models are both temporally limited and also probabilistic. The design is object-oriented, to allow for extensions that accommodate new models and sensors. An example application to a grid of sensors is presented.

Paper Details

Date Published: 16 June 1997
PDF: 12 pages
Proc. SPIE 3067, Sensor Fusion: Architectures, Algorithms, and Applications, (16 June 1997); doi: 10.1117/12.276130
Show Author Affiliations
John Parish, TRW, Inc. (United States)


Published in SPIE Proceedings Vol. 3067:
Sensor Fusion: Architectures, Algorithms, and Applications
Belur V. Dasarathy, Editor(s)

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