Robust Fusion for Multisensor Multiobject Tracking
Abstract
This letter proposes analytical expressions for the fusion of certain classes of labeled multiobject densities via Kullback-Leibler averaging. Specifically, we provide analytical fusion rules for the labeled multi-Bernoulli and marginalized d-generalized labeled multi-Bernoulli families of labeled multiobject densities. Information fusion via Kullback-Leibler averaging ensures immunity to double counting of information and is essential to the development of effective multiagent multiobject estimation.
Citation
Fantacci, C. and Vo, B. and Vo, B.T. and Battistelli, G. and Chisci, L. 2018. Robust Fusion for Multisensor Multiobject Tracking. IEEE Signal Processing Letters. 25 (5): pp. 640-644.
Source Title
IEEE Signal Processing Letters
ISSN
School
School of Electrical Engineering, Computing and Mathematical Science (EECMS)
Collection
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