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

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

Internet

http://hdl.handle.net/20.500.11937/48253

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