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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Main Author: | |
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
KIT Scientific Publishing
2009
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Series: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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024 | 7 | |a 10.5445/KSP/1000012224 |c doi | |
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100 | 1 | |a Huber, Marco |4 auth | |
245 | 1 | 0 | |a Probabilistic Framework for Sensor Management |
260 | |b KIT Scientific Publishing |c 2009 | ||
300 | |a 1 electronic resource (VI, 159 p. p.) | ||
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490 | 1 | |a Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory | |
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a Bayesian estimation | ||
653 | |a decision theory | ||
653 | |a sensor management | ||
653 | |a information theory | ||
653 | |a Gaussian mixtures | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783866444058 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/57004 |7 0 |z DOAB: description of the publication |