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Object association is a crucial step in target tracking and data fusion applications. This task can be formalized as the search for a relation between two sets (e.g., a sets of tracks and a set of observations) in such a way that each object in one set is matched with at most one object in the other set. In this paper, this problem is tackled using the formalism of belief functions. Evidence about...
Most signal and fusion processings consider synchronous data (acquired at the same time) and neglect small time differences. In dynamic situations, the time delay between two supposed synchronous data can imply errors. These errors can be a drawback in some applications, where data are required at a same exact time. This paper proposes to correct the error produced by timestamping error in sensor...
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