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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    WiFi-based urban localisation using CNNs


    Contributors:
    Hernandez, N. (author) / Corrales, H. (author) / Parra, I. (author) / Rentero, M. (author) / Llorca, D. F. (author) / Sotelo, M.A. (author)


    Publication date :

    2019-10-01


    Size :

    2690776 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Comparison of Deep Learning Architectures for WiFi-based Urban Localisation

    Montalvo, L. / Hernandez, N. / Parra, I. | IEEE | 2021




    WiFi-based Localization for Fail-Aware Autonomous Driving in Urban Scenarios

    Gomez, Carlos Guindel / Sanchez, Adrian Garcia / Parra, Noelia Hernandez et al. | IEEE | 2023


    Geotagged Visual Localisation System for Urban Automated Vehicles

    Ahrabian, Alireza / Broughton, Caroline / Holmes, Chris et al. | SAE Technical Papers | 2022