Crowdsourced WiFi database and benchmark software for indoor positioning

  • Elena-Simona Lohan (Creator)
  • Joaquin Torres-Sospedra (Contributor)
  • Philipp Richter (Contributor)
  • Helena Leppäkoski (Contributor)
  • Joaquin Huerta (Contributor)
  • Andrei Cramariuc (Contributor)

    Tietoaineisto

    Description

    This dataset contains two Wi-Fi databases (one for training and one for test/estimation purposes in indoor positioning applications), collected in a crowdsourced mode (i.e., via 21 different devices and different users), together with a benchmarking utility software (in Matlab and Python) to illustrate various algorithms of indoor positioning based solely on WiFi information (MAC addresses and RSS values).

    The data was collected in a 4-floor university building in Tampere, Finland, during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.
    Koska saatavilla12 syyskuuta 2017
    JulkaisijaTampere University of Technology
    Ajallinen kattavuustammikuuta 2017 - elokuuta 2017
    Tietojen luontipäivämäärätammikuuta 2017 - elokuuta 2017
    Maantieteellinen kattavuusParts of TUT campus
    Polygon (paikkatieto) 23° 51' 15.7"E, 61° 26' 58.3"N 23° 51' 15.4"E, 61° 27' 00.5"N 23° 51' 24.3"E, 61° 27' 01.0"N 23° 51' 26.9"E, 61° 26' 58.7"N

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