Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kotol Martin, Ing., Ph.D., REL-SIX (FEKT), UREL (FEKT)
Raida Zbyněk, prof. Dr. Ing., UREL (FEKT)
Láčík Jaroslav, doc. Ing., Ph.D., UREL (FEKT)
Abstrakt

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.

Klíčová slova

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

URL
Rok
2016
Strany
100–104
Sborník
International Conference RADIOELEKTRONIKA 2016
Konference
RADIOELEKTRONIKA 2016
ISBN
978-1-5090-1673-0
Vydavatel
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/"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru