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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
KIT Scientific Publishing
2021
|
| Subjects: | |
| Online Access: | 34253 |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869524493800570880 |
|---|---|
| author | Huber, Marco |
| author_browse | Huber, Marco |
| author_facet | Huber, Marco |
| author_sort | Huber, Marco |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-57004 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-570042023-12-20T18:40:48Z Probabilistic Framework for Sensor Management Huber, Marco QA75.5-76.95 Bayesian estimation decision theory sensor management information theory Gaussian mixtures bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-11T23:54:57Z 2021-02-11T23:54:57Z 2019-07-30 19:59:17 2009 book 34253 18673813 9783866444058 https://directory.doabooks.org/handle/20.500.12854/57004 eng Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866444058 KIT Scientific Publishing 10.5445/KSP/1000012224 10.5445/KSP/1000012224 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866444058 VI, 159 p. open access |
| spellingShingle | QA75.5-76.95 Bayesian estimation decision theory sensor management information theory Gaussian mixtures bic Book Industry Communication::U Computing & information technology::UY Computer science Huber, Marco Probabilistic Framework for Sensor Management |
| title | Probabilistic Framework for Sensor Management |
| title_full | Probabilistic Framework for Sensor Management |
| title_fullStr | Probabilistic Framework for Sensor Management |
| title_full_unstemmed | Probabilistic Framework for Sensor Management |
| title_short | Probabilistic Framework for Sensor Management |
| title_sort | probabilistic framework for sensor management |
| topic | QA75.5-76.95 Bayesian estimation decision theory sensor management information theory Gaussian mixtures bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 Bayesian estimation decision theory sensor management information theory Gaussian mixtures bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34253 |
| work_keys_str_mv | AT hubermarco probabilisticframeworkforsensormanagement |