Detail publikačního výsledku

Sensors Data Fusion via Bayesian Network

VĚCHET, S.; KREJSA, J.

Originální název

Sensors Data Fusion via Bayesian Network

Anglický název

Sensors Data Fusion via Bayesian Network

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Presented paper deals with the fusion of information obtained from dif- ferent kinds of sensors placed on autonomous mobile robot. The method is based on Bayesian network. Implementation details and verification simulation experi- ment that fuses three different means to determine robot orientation are given in the paper. The method is easily extendable for higher number of sensors of differ- ent kind together with higher dimension output data to be fused.

Anglický abstrakt

Presented paper deals with the fusion of information obtained from dif- ferent kinds of sensors placed on autonomous mobile robot. The method is based on Bayesian network. Implementation details and verification simulation experi- ment that fuses three different means to determine robot orientation are given in the paper. The method is easily extendable for higher number of sensors of differ- ent kind together with higher dimension output data to be fused.

Klíčová slova

Bayes Theorem, Bayesian Network, Mobile Robots Navigation, Data Fusion

Klíčová slova v angličtině

Bayes Theorem, Bayesian Network, Mobile Robots Navigation, Data Fusion

Autoři

VĚCHET, S.; KREJSA, J.

Rok RIV

2010

Vydáno

18.11.2009

Nakladatel

Springer

Místo

Berlin Heidelberg

ISBN

978-3-642-05021-3

Kniha

Recent Advances in Mechatronics 2008 - 2009

Strany od

221

Strany do

226

Strany počet

6

BibTex

@inproceedings{BUT31617,
  author="Stanislav {Věchet} and Jiří {Krejsa}",
  title="Sensors Data Fusion via Bayesian Network",
  booktitle="Recent Advances in Mechatronics 2008 - 2009",
  year="2009",
  number="1",
  pages="221--226",
  publisher="Springer",
  address="Berlin Heidelberg",
  isbn="978-3-642-05021-3"
}