Talks and Poster Presentations (with Proceedings-Entry):

G. Retscher, A. Bekenova:
"Urban Wi-Fi RSSI Analysis along a Public Transport Route for Kinematic Localization";
Talk: IEEE/ION Plans 2020, Portland, Oregon, USA (invited); 2020-04-20 - 2020-04-23; in: "Ieee/ion Plans 2020", IEEE, (2020), 8 pages.

English abstract:
Wireless Fidelity (Wi-Fi) location fingerprinting
is a method of finding a mobile device/personīs location based
on the measurement of the Received Signal Strength Indicator
(RSSI) of Wi-Fi networks. Due to growing Wi-Fi coverage this
method is becoming increasingly useful in areas where GNSS
signals do not reach, such as underground or within the builtup
city area, such as in urban canyons. In the course of this
study, the operability and performance of Wi-Fi fingerprinting
is investigated at a set number of reference points, referred to
as Intelligent Check Points (iCPs), along a tramway route. The
route leads from a residential neighborhood to an University
building in downtown of the city of Vienna, Austria. Of
particular interest in this study are the mobile Access Points
(APs) installed on the trains of the tramway line. From our
point of view, an analysis of how they can contribute to the
confirmation and validation of the user localization
determination along the route is a main goal. A SLAM
approach is proposed for a combined and integrated solution
for user localization. From a first analyses of the availability,
visibility and RSSI stability of the APs on the tram and in the
surrounding environment an approach is derived for
continuous user localization integrating the smartphone
inertial sensors in addition.

Wi-Fi positioning, AP availability, AP visibility, RSSI stability, public transport user localization, sensor integration I

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.