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Probabilistic Framework for Sensor Management.
Marco Huber
2009
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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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Keywords
- Bayesian estimation
- decision theory
- Gaussian mixtures
- Information theory
- sensor management
Links
DOI: 10.5445/KSP/1000012224Editions