Facility security reasoning in a hybrid intelligent tracking system
John W. Elling, C. Johnson · 2002
A hybrid intelligent expert system is being developed for the adaptive multisensor integrated security system (AMISS) to identify threatening patterns of behavior in a nuclear facility. The focus of this paper is the sensor fusion strategy used to create the input to the rule-based and neural network reasoning systems. The sensor fusion components of the AMISS system use a number of data processing techniques to accomplish its mission of combining disparate sensor data types in a noisy and uncertain environment.