Vehicles need to locate other vehicles and network infrastructure elements on unmanned autonomous vehicle (UAV) systems. Human passengers also need to locate and be located by the vehicles, preferentially using a portable device, such as a smartphone. This paper analyses the accuracy of several localization algorithms in the remote location of entities running WiFi access points, using measurements collected in moving vehicles using a new application developed by us. The algorithms analysed include closed form estimators and one based on second order cone programming (SOCP) relaxation, which exhibits the best accuracy and is capable of estimating the path loss exponent and the transmission power. Although, due its lower complexity, the Levenberg-Marquardt algorithm was better suited for the stand-alone Android prototype application. The results show that real-time accurate positioning of static/slow moving remote entities is possible, even though the accuracy degrades when the measuring vehicle's speed increases.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Localization of Static Remote Devices Using Smartphones


    Contributors:
    Pedro, D. (author) / Tomic, S. (author) / Bernardo, L. (author) / Beko, M. (author) / Oliveira, R. (author) / Dinis, R. (author) / Pinto, P. (author)


    Publication date :

    2018-06-01


    Size :

    2737111 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Lane-Level Vehicular Localization Utilizing Smartphones

    Zhu, Siyu / Wang, Xiong / Zhang, Zhehui et al. | IEEE | 2016


    Exploring Smartphones as WAVE Devices

    Park, Jeman / Kim, Jihye / Kuk, Seungho et al. | IEEE | 2015



    Real-time location tracking methods and devices based on maps using smartphones

    KIM HA YUL | European Patent Office | 2025

    Free access

    Driver behavior profiling using smartphones

    Castignani, German / Frank, Raphael / Engel, Thomas | IEEE | 2013