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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Autore principale: Huber, Marco (auth)
Natura: Elettronico Capitolo di libro
Lingua:inglese
Pubblicazione: KIT Scientific Publishing 2009
Serie:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory
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Riassunto: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.
Descrizione fisica:1 electronic resource (VI, 159 p. p.)
ISBN:KSP/1000012224
9783866444058
Accesso:Open Access