Probabilistic framework for sensor management
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Beschreibung
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.
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Autor*in
Marco Huber
Themen in »Probabilistic framework for sensor management«
decision theory sensor management Bayesian estimation Gaussian mixtures information theory