Decision-level data fusion using Bayesian inference

John Parish

doi:10.1117/12.276130

16 June 1997 Decision-level data fusion using Bayesian inference

John Parish

Proceedings Volume 3067, Sensor Fusion: Architectures, Algorithms, and Applications; (1997) https://doi.org/10.1117/12.276130
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

John Parish "Decision-level data fusion using Bayesian inference", Proc. SPIE 3067, Sensor Fusion: Architectures, Algorithms, and Applications, (16 June 1997); https://doi.org/10.1117/12.276130

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