Probabilistic Framework for Sensor Management
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.
Keywords
Bayesian estimation; decision theory; sensor management; information theory; Gaussian mixturesISBN
9783866444058Publisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2009Series
Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory,Classification
Computer science