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...
Gorde:
Egile nagusia: | Huber, Marco (auth) |
---|---|
Formatua: | Baliabide elektronikoa Liburu kapitulua |
Hizkuntza: | ingelesa |
Argitaratua: |
KIT Scientific Publishing
2009
|
Saila: | Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Universität Karlsruhe, Intelligent Sensor-Actuator-Systems Laboratory
|
Gaiak: | |
Sarrera elektronikoa: | DOAB: download the publication DOAB: description of the publication |
Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
Antzeko izenburuak
-
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
nork: Huber, Marco
Argitaratua: (2015) -
Multi-Sensor Information Fusion
nork: Gao, Yuan
Argitaratua: (2020) -
Advances in Multi-Sensor Information Fusion: Theory and Applications 2017
nork: Hong Wei (Ed.)
Argitaratua: (2018) -
Sensor Networks in Structural Health Monitoring: From Theory to Practice
Argitaratua: (2021) -
Linear Estimation in Interconnected Sensor Systems with Information Constraints
nork: Reinhardt, Marc
Argitaratua: (2015)