Publication result detail

Sensors Data Fusion via Bayesian Network

VĚCHET, S.; KREJSA, J.

Original Title

Sensors Data Fusion via Bayesian Network

English Title

Sensors Data Fusion via Bayesian Network

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

VĚCHET, S.; KREJSA, J.

RIV year

2010

Released

18.11.2009

Publisher

Springer

Location

Berlin Heidelberg

ISBN

978-3-642-05021-3

Book

Recent Advances in Mechatronics 2008 - 2009

Pages from

221

Pages to

226

Pages count

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"
}