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Content Provider | IEEE Xplore Digital Library |
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Author | Schmid, J. Gadeke, T. Curtis, D. Ledlie, J. |
Copyright Year | 2012 |
Description | Author affiliation: Karlsruhe Institute of Technology, Karlsruhe, Germany (Schmid, J.; Gadeke, T.) || Massachusetts Institute of Technology, Cambridge, USA (Curtis, D.) || Nokia Research Center, Cambridge, USA (Ledlie, J.) |
Abstract | Personal location discovery and navigation within buildings has become an important research topic in the last years. One method to determine one's current position based on mobile-devices is to compare the set of available WiFi access points (APs), i.e. the fingerprint of a given space, to a previously collected database. In this context, this paper addresses the inherent problem of such systems that this fingerprint database needs to be established beforehand. Thus, situations can occur where a building is only partially represented in the database and localization can only be provided in a subset of the spaces of the building. This problem occurs especially in crowd-sourcing (organic) approaches where users consecutively contribute location-binds. In these situations an additional system is needed to provide localization. We present a first study on the fusion of pedestrian dead reckoning (PDR) from inertial sensors with position estimates from a WiFi localization system. We outline a possible design of particle filter and analyze its behavior on experimental data. We conclude that the outlined method can help to improve WiFi localization and is especially useful within crowd-sourcing environments. |
Starting Page | 30 |
Ending Page | 35 |
File Size | 2214266 |
Page Count | 6 |
File Format | |
ISBN | 9781467314374 |
e-ISBN | 9781467314398 |
DOI | 10.1109/WPNC.2012.6268734 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-03-15 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | IEEE 802.11 Standards Databases Atmospheric measurements Buildings Fingerprint recognition Particle measurements Acceleration |
Content Type | Text |
Resource Type | Article |
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