Detail publikačního výsledku

Neural-Network Based In-Vehicle Localization Passengers

Martin Kotol, Zbyněk Raida, Jaroslav Láčík

Originální název

Neural-Network Based In-Vehicle Localization Passengers

Anglický název

Neural-Network Based In-Vehicle Localization Passengers

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální 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.

Anglický 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

Klíčová slova v angličtině

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

Autoři

Martin Kotol, Zbyněk Raida, Jaroslav Láčík

Rok RIV

2017

Vydáno

19.04.2016

Nakladatel

IEEE Xplore

ISBN

978-1-5090-1673-0

Kniha

International Conference RADIOELEKTRONIKA 2016

Strany od

100

Strany do

104

Strany počet

5

URL

http://ieeexplore.ieee.org/document/7477340/

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/"
}