Detail publikace

Sensors Data Fusion via Bayesian Filter

VĚCHET, S. KREJSA, J. ONDROUŠEK, V.

Český název

Sensors Data Fusion via Bayesian Filter

Anglický název

Sensors Data Fusion via Bayesian Filter

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

Originální abstrakt

Presented paper deals with the data fusion of measured environment attributes obtained from different kinds of sensors used by autonomous mobile robot. The method is based on algorithm called Bayesian filter. Implementation details and simulation experiment that fuses three different sensors measurement to determine robot orientation are given in the paper.

Český abstrakt

Presented paper deals with the data fusion of measured environment attributes obtained from different kinds of sensors used by autonomous mobile robot. The method is based on algorithm called Bayesian filter. Implementation details and simulation experiment that fuses three different sensors measurement to determine robot orientation are given in the paper.

Anglický abstrakt

Presented paper deals with the data fusion of measured environment attributes obtained from different kinds of sensors used by autonomous mobile robot. The method is based on algorithm called Bayesian filter. Implementation details and simulation experiment that fuses three different sensors measurement to determine robot orientation are given in the paper.

Klíčová slova česky

Automotive Application, Robotics, Sensor

Klíčová slova anglicky

Automotive Application, Robotics, Sensor

Rok RIV

2010

Vydáno

06.09.2010

Místo

Skopje, Republic of Macedonia

ISBN

978-1-4244-7854-5

Kniha

Proceedings of EPE-PEMC 2010

Strany od–do

T7-29–T7-34

Počet stran

6

BIBTEX


@inproceedings{BUT35300,
  author="Stanislav {Věchet} and Jiří {Krejsa} and Vít {Ondroušek},
  title="Sensors Data Fusion via Bayesian Filter",
  booktitle="Proceedings of EPE-PEMC 2010",
  year="2010",
  month="September",
  pages="T7-29--T7-34",
  address="Skopje, Republic of Macedonia",
  isbn="978-1-4244-7854-5"
}