Sensor Control for Multi-Object State-Space Estimation Using Random Finite Sets

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Sensor Control for Multi-Object State-Space Estimation Using Random Finite Sets

The problem addressed in this paper is information theoretic sensor control for recursive Bayesian multi-object state-space estimation using random finite sets. The proposed algorithm is formulated in the framework of partially observed Markov decision processes where the reward function associated...

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Bibliographic Details
Main Authors:	Ristic, B., Vo, Ba-Ngu
Format:	Journal Article
Published:	Pergamon 2010
Subjects:	Information measure Random finite sets Particle filter Sensor management Sequential Monte Carlo estimation Bayesian estimation
Online Access:	http://hdl.handle.net/20.500.11937/48253

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