01690nam 2200373z- 450 9910346922203321202102111000012224(CKB)4920000000101300(oapen)https://directory.doabooks.org/handle/20.500.12854/57004(oapen)doab57004(EXLCZ)99492000000010130020202102d2009 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierProbabilistic Framework for Sensor ManagementKIT Scientific Publishing20091 online resource (VI, 159 p. p.)Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory3-86644-405-2 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.Bayesian estimationdecision theoryGaussian mixturesinformation theorysensor managementHuber Marcoauth1302254BOOK9910346922203321Probabilistic Framework for Sensor Management3026305UNINA