Within this work we present an updated version of our indoor localization system for
smartphones. The pedestrian's position is given by means of recursive state estimation …

Indoor localization and indoor pedestrian navigation is an active field of research with
increasing attention. As of today, many systems will run on commercial smartphones, but …

Indoor localization using mobile devices such as smartphones remains a challenging
problem as GPS (Global Positioning System) does not work inside buildings and the …

In this paper we present a method to estimate a position in buildings without using absolute
positioning data like WiFi signals. Unlike other state-of-the-art methods, we use probability …

Indoor localization using mobile devices such as smartphones remains a challenging
problem as GPS (Global Positioning System) does not work inside buildings and the …

Automatic real-time localisation of people inside of buildings (indoor) is a huge challenge.
For demanding applications of mobile services, different sensors such as WLAN, RFID, UWB …

Indoor positioning poses a number of challenges, especially in large and complex buildings.
Several effects, such as signal attenuation, signal fluctuations, interference, and multipath …

The demand for easily deployable indoor localisation solutions has been growing. Although
several systems have been proposed, their limitations regarding the high implementation …

Personal indoor localization with smartphones is a well-researched area, with a number of
approaches solving the problem separately for individual users. Most commonly, a particle …

Navigating to a desired destination is a key aspect of indoor localisation. Up to this point
many different systems using present or past information for estimating the pedestrian's …