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Crowdsourcing location information to improve indoor localization (M)

Status: Abgeschlossen

Recent research has shown, that location fingerprinting has many advantages when it comes to indoor localization using existing infrastructures. However, the main problem of location fingerprinting is the collection of (large) sets of fingerprints, which is time consuming and costly. The Redpin project overcomes this problem using a crowdsourcing approach, i.e., the user itself can add fingerprints to the system at any time. The goal of this thesis is to investigate different mechanisms to motivate users to contribute. In addition, we want to analyse the characteristics and thus implications of taking a great number of measurements over a long period of time.

Student/Bearbeitet von: Luba Rogoleva
Contact/Ansprechpartner: Philipp Bolliger

ETH ZurichDistributed Systems Group
Last updated July 6 2012 01:46:04 PM MET pb