Smoothing indoor trajectories

Aharon Abadi, Roie Melamed, Eli Packer, Natalie Shapira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016
EditorsJose A. Lopez-Salcedo, Gonzalo Seco-Granados, Jari Nurmi, Elena Simona Lohan, Jose A. Del Peral
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017577
DOIs
StatePublished - 4 Aug 2016
Externally publishedYes
Event2016 International Conference on Localization and GNSS, ICL-GNSS 2016 - Barcelona, Spain
Duration: 28 Jun 201630 Jun 2016

Publication series

NameProceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016

Conference

Conference2016 International Conference on Localization and GNSS, ICL-GNSS 2016
Country/TerritorySpain
CityBarcelona
Period28/06/1630/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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