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