Publication detail

Neural-Network Based In-Vehicle Localization Passengers

Martin Kotol, Zbyněk Raida, Jaroslav Láčík

Original Title

Neural-Network Based In-Vehicle Localization Passengers

English Title

Neural-Network Based In-Vehicle Localization Passengers

Type

conference paper

Language

en

Original 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.

English 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

Released

19.04.2016

Publisher

IEEE Xplore

ISBN

978-1-5090-1673-0

Book

International Conference RADIOELEKTRONIKA 2016

Pages from

100

Pages to

104

Pages count

5

URL

BibTex


@inproceedings{BUT125060,
  author="Martin {Kotol} and Zbyněk {Raida} and Jaroslav {Láčík}",
  title="Neural-Network Based In-Vehicle Localization Passengers",
  annote="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.",
  address="IEEE Xplore",
  booktitle="International Conference
RADIOELEKTRONIKA 2016",
  chapter="125060",
  doi="10.1109/RADIOELEK.2016.7477340",
  howpublished="online",
  institution="IEEE Xplore",
  year="2016",
  month="april",
  pages="100--104",
  publisher="IEEE Xplore",
  type="conference paper"
}