Detail publikace

Neural-Network Based In-Vehicle Localization Passengers

Originální název

Neural-Network Based In-Vehicle Localization Passengers

Anglický název

Neural-Network Based In-Vehicle Localization Passengers

Jazyk

en

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.

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"
}