Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods
Chapter 2 introduced the Bayesian approach to the processing of sensory information. One of the notable aspects of the Bayesian formulation is the ease with which constraints can be embedded. The constraint embedding was seen to be performed through the specification of suitable image formation and prior models. The image formation model typically involved the physical, and to a lesser extent natural, constraints, while the prior model typically involved natural and artificial constraints.
KeywordsKalman Filter Sensory Module Data Fusion FUSIONAL Method Prior Constraint
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