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The aim of this paper is to derive an adaptive approach for track fusion in a multisen-sor environment. The measurements of two sensors tracking the same target are processed by linear Kalman Filters. The outputs of the local trackers are sent to the central node. In this node, a decision logic, which is based on the comparison between distance metrics and(More)
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