Probabilistic Framework for Sensor Management
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 co...
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| Superior document: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory |
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| Year of Publication: | 2009 |
| Language: | English |
| Series: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory
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| Physical Description: | 1 electronic resource (VI, 159 p. p.) |
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| 520 | |a 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. | ||
| 546 | |a English | ||
| 653 | |a Bayesian estimation | ||
| 653 | |a decision theory | ||
| 653 | |a sensor management | ||
| 653 | |a information theory | ||
| 653 | |a Gaussian mixtures | ||
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