TY  - GEN
AU  - Huber,Marco
TI  - Probabilistic Framework for Sensor Management
SN  - KSP/1000012224
PY  - 2009///
PB  - KIT Scientific Publishing
KW  - Bayesian estimation
KW  - decision theory
KW  - sensor management
KW  - information theory
KW  - Gaussian mixtures
N1  - Open Access
N2  - 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
UR  - https://www.ksp.kit.edu/9783866444058
UR  - https://directory.doabooks.org/handle/20.500.12854/57004
ER  -