Combining experts' opinions. An application to target identification

There is an increasing utilization of multiple sensor fusion in many disciplines, but a general systematic formulation has not been well developed. An attempt is made to provide a guideline in applying data fusion techniques to a practical problem, the fusion of target identification (ID) attribute measurements. Formation of a consensus function is first presented, and is followed by construction of a hierarchical probabilistic network for computing a joint probability density function. An ID fusion method is described and then integrated into a generalized track/data association algorithm.<
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