Smoothing indoor trajectories

Aharon Abadi; Roie Melamed; Eli Packer; Natalie Shapira

doi:10.1109/icl-gnss.2016.7533845

Smoothing indoor trajectories

Aharon Abadi
, Roie Melamed
, Eli Packer
, Natalie Shapira

IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
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	https://doi.org/10.1109/icl-gnss.2016.7533845
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

Conference

Conference	2016 International Conference on Localization and GNSS, ICL-GNSS 2016
Country/Territory	Spain
City	Barcelona
Period	28/06/16 → 30/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/icl-gnss.2016.7533845

Cite this

Abadi, A., Melamed, R., Packer, E., & Shapira, N. (2016). Smoothing indoor trajectories. In J. A. Lopez-Salcedo, G. Seco-Granados, J. Nurmi, E. S. Lohan, & J. A. Del Peral (Eds.), Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016 Article 7533845 (Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icl-gnss.2016.7533845

Abadi, Aharon ; Melamed, Roie ; Packer, Eli et al. / Smoothing indoor trajectories. Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016. editor / Jose A. Lopez-Salcedo ; Gonzalo Seco-Granados ; Jari Nurmi ; Elena Simona Lohan ; Jose A. Del Peral. Institute of Electrical and Electronics Engineers Inc., 2016. (Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016).

@inproceedings{689d41adba77430cb9be4c4c66c58fdd,

title = "Smoothing indoor trajectories",

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.",

author = "Aharon Abadi and Roie Melamed and Eli Packer and Natalie Shapira",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Localization and GNSS, ICL-GNSS 2016 ; Conference date: 28-06-2016 Through 30-06-2016",

year = "2016",

month = aug,

day = "4",

doi = "10.1109/icl-gnss.2016.7533845",

language = "אנגלית",

series = "Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Lopez-Salcedo, \{Jose A.\} and Gonzalo Seco-Granados and Jari Nurmi and Lohan, \{Elena Simona\} and \{Del Peral\}, \{Jose A.\}",

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Abadi, A, Melamed, R, Packer, E & Shapira, N 2016, Smoothing indoor trajectories. in JA Lopez-Salcedo, G Seco-Granados, J Nurmi, ES Lohan & JA Del Peral (eds), Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016., 7533845, Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016, Institute of Electrical and Electronics Engineers Inc., 2016 International Conference on Localization and GNSS, ICL-GNSS 2016, Barcelona, Spain, 28/06/16. https://doi.org/10.1109/icl-gnss.2016.7533845

Smoothing indoor trajectories. / Abadi, Aharon; Melamed, Roie; Packer, Eli et al.
Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016. ed. / Jose A. Lopez-Salcedo; Gonzalo Seco-Granados; Jari Nurmi; Elena Simona Lohan; Jose A. Del Peral. Institute of Electrical and Electronics Engineers Inc., 2016. 7533845 (Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Smoothing indoor trajectories

AU - Abadi, Aharon

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AU - Packer, Eli

AU - Shapira, Natalie

PY - 2016/8/4

Y1 - 2016/8/4

N2 - 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.

AB - 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.

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AN - SCOPUS:84986201504

T3 - Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016

BT - Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016

A2 - Lopez-Salcedo, Jose A.

A2 - Seco-Granados, Gonzalo

A2 - Nurmi, Jari

A2 - Lohan, Elena Simona

A2 - Del Peral, Jose A.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Conference on Localization and GNSS, ICL-GNSS 2016

Y2 - 28 June 2016 through 30 June 2016

ER -

Abadi A, Melamed R, Packer E, Shapira N. Smoothing indoor trajectories. In Lopez-Salcedo JA, Seco-Granados G, Nurmi J, Lohan ES, Del Peral JA, editors, Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7533845. (Proceedings of 2016 International Conference on Localization and GNSS, ICL-GNSS 2016). doi: 10.1109/icl-gnss.2016.7533845

Smoothing indoor trajectories

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