Although a number of indoor navigation approaches have been proposed, most either require prior knowledge on floor plans, or relying on extra sensors or images, to provide accurate indoor localization and navigation. This paper presents FreeNavi, a landmark-based indoor navigation algorithm that leverages only WiFi signals to direct users in sophisticated indoor environments without prior device deployment or floor plans. FreeNavi takes advantage of human intelligence as an important input to locate and navigate users based on landmarks. With WiFi fingerprints collected at landmarks and walking traces collected in a crowdsourced manner, FreeNavi is able to create a virtual map connecting landmarks with each other. During navigation, FreeNavi produces human understandable directions based on landmarks in the virtual map. Evaluation result shows that FreeNavi can build mostly correct maps and provide efficient directions to users despite relying only on WiFi signals.


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    Titel :

    FreeNavi: Landmark-Based Mapless Indoor Navigation Based on WiFi Fingerprints


    Beteiligte:
    Guo, Yao (Autor:in) / Wang, Wenjun (Autor:in) / Chen, Xiangqun (Autor:in)


    Erscheinungsdatum :

    01.06.2017


    Format / Umfang :

    563732 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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