Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter

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Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter

This paper proposes an efficient implementation of the multi-sensor generalized labeled multi-Bernoulli (GLMB) filter. Like its single-sensor counterpart, such implementation requires truncating the GLMB sum. However the single-sensor case requires solving 2-D ranked assignment problems whereas the...

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Bibliographic Details
Main Authors:	Vo, Ba-Ngu, Vo, Ba Tuong, Beard, Michael
Format:	Journal Article
Language:	English
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2019
Subjects:	Science & Technology Technology Engineering, Electrical & Electronic Engineering State estimation Filtering Random finite sets Multi-dimensional assignment Gibbs sampling RANDOM FINITE SETS DISTRIBUTED FUSION MONTE-CARLO LOCALIZATION
Online Access:	http://purl.org/au-research/grants/arc/DP170104854 http://hdl.handle.net/20.500.11937/90802

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