WiFi-based urban localisation using CNNs
Authors
Hernández Parra, Noelia; Corrales Sánchez, Héctor; Parra Alonso, Ignacio; Rentero Alonso De Linaje, Mónica; Fernández Llorca, David; [et al.]Identifiers
Permanent link (URI): http://hdl.handle.net/10017/59541DOI: 10.1109/ITSC.2019.8917290
ISBN: 978-1-5386-7023-1
Publisher
IEEE
Date
2019-10-27Affiliation
Universidad de Alcalá. Departamento de Automática; Universidad de Alcalá. Departamento de Ciencias de la ComputaciónFunders
Ministerio de Economía y Competitividad
European Commission
Agencia Estatal de Investigación
Bibliographic citation
N. Hernández, H. Corrales, I. Parra, M. Rentero, D. F. Llorca and M. A. Sotelo, "WiFi-based urban localisation using CNNs", in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 1270-1275.
Description / Notes
IEEE Conference on Intelligent Transportation Systems - ITSC 2019, 27-30/10/2019, Auckland, Nueva Zelanda.
Project
info:eu-repo/grantAgreement/MINECO//PCIN-2017-086
info:eu-repo/grantAgreement/EC/H2020/737469//AutoDrive
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-90035-R/ES/INTERACCION PREDICTIVA ENTRE VEHICULOS AUTONOMOS COOPERATIVOS Y USUARIOS VULNERABLES DE CARRETERA ORIENTADA AL USUARIO FINAL/
Document type
info:eu-repo/semantics/conferenceObject
Version
info:eu-repo/semantics/publishedVersion
Publisher's version
https://doi.org/10.1109/ITSC.2019.8917290Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2019 IEEE
Access rights
info:eu-repo/semantics/openAccess
Abstract
The continuous expanding scale of WiFi deployments in metropolitan areas has made possible to find WiFi
access points at almost any place in our cities. Although WiFi
has been mainly used for indoor localisation, there is a growing
number of research in outdoor WiFi-based localisation. This
paper presents a WiFi-based localisation system that takes
advantage of the huge deployment of WiFi networks in urban
areas. The idea is to complement localisation in zones where
the GPS coverage is low, such as urban canyons. The proposed
method explores the CNNs ability to handle large amounts of
data and their high accuracy with reasonable computational
costs. The final objective is to develop a system able to handle
the large number of access points present in urban areas
while preserving high accuracy and real time requirements.
The system was tested in a urban environment, improving the
accuracy with respect to the state-of-the-art and being able to
work in real time.
Files in this item
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WiFi_based_ITSC_2019.pdf | 2.569Mb |
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Files | Size | Format |
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WiFi_based_ITSC_2019.pdf | 2.569Mb |
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