AbstractThis article describes an evidential pattern classifier for the combination of data from physically different sensors. We assume that the sensory evidence is multiresolutional, incomplete, imprecise, and possibly inconsistent. Our focus is on two types of sensory information patterns: visual and tacticle. We develop a logical sensing scheme by using a model‐based representation of prototypical 3‐D surfaces. Each surface represents a class of topological patterns described by shape and curvature features. The sensory evidence is classified by using aconductivitymeasure to determine which prototypical surface best matches the evide
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