Publication detail
Sensors Data Fusion via Bayesian Filter
VĚCHET, S. KREJSA, J. ONDROUŠEK, V.
Czech title
Sensors Data Fusion via Bayesian Filter
English title
Sensors Data Fusion via Bayesian Filter
Type
conference paper
Language
en
Original abstract
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.
Czech abstract
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.
English abstract
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.
Keywords in Czech
Automotive Application, Robotics, Sensor
Keywords in English
Automotive Application, Robotics, Sensor
RIV year
2010
Released
06.09.2010
Location
Skopje, Republic of Macedonia
ISBN
978-1-4244-7854-5
Book
Proceedings of EPE-PEMC 2010
Pages from–to
T7-29–T7-34
Pages count
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"
}