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Probabilistic Framework for Sensor Management

A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are co...

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Bibliographic Details
Main Author: Huber, Marco (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2009
Series:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory
Subjects:
Bayesian estimation
decision theory
sensor management
information theory
Gaussian mixtures
Online Access:DOAB: download the publication
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Summary:A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are combined such that long-term effects of possible sensor configurations and stochastic uncertainties resulting from noisy measurements can be incorporated into the sensor management decisions.
Physical Description:1 electronic resource (VI, 159 p. p.)
ISBN:KSP/1000012224
9783866444058
Access:Open Access

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