Abstract
The indoor location market is forecasted by ABI Research to reach approximately $10B by 2020. However, this emerging area, suffers from limited positioning accuracy induced by the many existing indoor sensing platforms. We present novel noise-reduction and data-smoothing algorithms, designed to cleanse Wi-Fi-based indoor positioning data. An empirical evaluation of these algorithms demonstrated up to 75.5% improvement in the data accuracy. This improved accuracy opens new market opportunities in the retail and travel and transportation domains.
Original language | English |
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Title of host publication | Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016 |
Editors | Jose A. Lopez-Salcedo, Gonzalo Seco-Granados, Jari Nurmi, Elena Simona Lohan, Jose A. Del Peral |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509017577 |
DOIs | |
State | Published - 4 Aug 2016 |
Externally published | Yes |
Event | 2016 International Conference on Localization and GNSS, ICL-GNSS 2016 - Barcelona, Spain Duration: 28 Jun 2016 → 30 Jun 2016 |
Publication series
Name | Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016 |
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Conference
Conference | 2016 International Conference on Localization and GNSS, ICL-GNSS 2016 |
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Country/Territory | Spain |
City | Barcelona |
Period | 28/06/16 → 30/06/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.