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"
}