Fusing probabilistic information is a fundamental task in signal and data processing with
relevance to many fields of technology and science. In this work, we investigate the fusion of …

Distributed scenarios pose a big challenge to tracking and fusion systems. They require the
prevention of repeatedly incorporating the same information, which originates from ring …

This paper addresses the intractable track matching problem involved in multi-sensor multi-
target tracking using the labeled multi-Bernoulli filters. Unlike the unlabeled density defined …

This paper addresses the generalized covariance intersection (GCI) fusion for labeled
random finite sets, avoiding the label inconsistency sensitivity problem and the information …

We propose a distributed multisensor joint integrated probabilistic data association (JIPDA)
filter for multiobject tracking in decentralized sensor networks. Conventional Chernoff fusion …

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