Publication detail

Neural-Network Based In-Vehicle Localization Passengers

Martin Kotol, Zbyněk Raida, Jaroslav Láčík

Original Title

Neural-Network Based In-Vehicle Localization Passengers

Type

conference paper

Language

English

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.

Keywords

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

Authors

Martin Kotol, Zbyněk Raida, Jaroslav Láčík

Released

19. 4. 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

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/"
}