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"
}