Mobile Sensing von Umweltdaten zur Unterstützung der Indoor-Navigation am Beispiel U-Bahn

This paper presents an underground navigation app "mUvi". For the indoor navigation of underground users, it only exploits the information from the environment of the user, collected by the internal sensors of the user's smartphone. Based on an experimental study on the use of smartphone sensors for underground navigation the mobile app uses a combination of microphone and two additional sensors for a robust positioning and navigation of underground users.