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.
"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