Result Details

Neural-Network Based In-Vehicle Localization Passengers

Martin Kotol, Zbyněk Raida, Jaroslav Láčík. Neural-Network Based In-Vehicle Localization Passengers. In International Conference RADIOELEKTRONIKA 2016. IEEE Xplore, 2016. p. 100-104. ISBN: 978-1-5090-1673-0.
Type
conference paper
Language
English
Authors
Kotol Martin, Ing., Ph.D., REL-SIX (FEEC), UREL (FEEC)
Raida Zbyněk, prof. Dr. Ing., UREL (FEEC)
Láčík Jaroslav, doc. Ing., Ph.D., UREL (FEEC)
Abstract

In the paper, we introduce a novel neural estimator of seats occupied by passengers in a vehicle. The estimator is built from the radial basis function (RBF) neural network. Occupied seats in a vehicle are estimated from transmissions between antennas operating at 60 GHz.

Keywords

Artificial neural network, Radial basis function, Localization, Vehicle, Measurement

URL
Published
2016
Pages
100–104
Proceedings
International Conference RADIOELEKTRONIKA 2016
Conference
RADIOELEKTRONIKA 2016
ISBN
978-1-5090-1673-0
Publisher
IEEE Xplore
DOI
10.1109/RADIOELEK.2016.7477340
UT WoS
000383741100022
EID Scopus
2-s2.0-84977661390
BibTeX 
@inproceedings{BUT125060,
  author="Martin {Kotol} and Zbyněk {Raida} and Jaroslav {Láčík}",
  title="Neural-Network Based In-Vehicle Localization Passengers",
  booktitle="International Conference
RADIOELEKTRONIKA 2016",
  year="2016",
  pages="100--104",
  publisher="IEEE Xplore",
  doi="10.1109/RADIOELEK.2016.7477340",
  isbn="978-1-5090-1673-0",
  url="http://ieeexplore.ieee.org/document/7477340/"
}
Departments
Department of Radio Electronics (UREL)
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