Neural-Network Based In-Vehicle Localization Passengers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119131" target="_blank" >RIV/00216305:26220/16:PU119131 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7477340/" target="_blank" >http://ieeexplore.ieee.org/document/7477340/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEK.2016.7477340" target="_blank" >10.1109/RADIOELEK.2016.7477340</a>
Alternative languages
Result language
angličtina
Original language name
Neural-Network Based In-Vehicle Localization Passengers
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference RADIOELEKTRONIKA 2016
ISBN
978-1-5090-1673-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
100-104
Publisher name
IEEE Xplore
Place of publication
Neuveden
Event location
Košice
Event date
Apr 19, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000383741100022