A constructive Bayesian approach for vehicle monitoring

A key component of a vehicle monitoring system is uncertainty management. Bayesian networks (BN) emerged as a normative and effective formalism for uncertain reasoning in many AI tasks. Since a priori modeling of the domain into a BN is impractical due to the vast interpretation space, the BN formalism has been considered inapplicable to this type of task. We propose a framework in which the BN formalism can be applied to vehicle monitoring. The framework explores domain decomposition, model separation, model approximation, model compilation and re-analysis. Experimental implementation demonstrated good performance at near-real time.