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Marco Huber

Probabilistic Framework for Sensor Management

(Karlsruhe Series on Intelligent Sensor-Actuator-Systems ; 7)

AutorHuber, Marco

VerlagUniversitätsverlag Karlsruhe, Karlsruhe

ISBN9783866444058

UmfangVI, 159 S.

Veröffentlicht
am:
24.09.2009

Erscheinungs-
jahr
2009

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000012224

Abstract

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.