article

Localize Yourself in Malls: An Anatomy of a Commercial Localization System with One-million Users

Authors:

Zhe Ji,

Wei JiangAuthors Info & Claims

GetMobile: Mobile Computing and Communications, Volume 27, Issue 1

Pages 34 - 38

https://doi.org/10.1145/3599184.3599194

Published: 22 May 2023 Publication History

Get Access

Abstract

The past two decades have witnessed the surge of smartphones and mobile applications. When going out, people will naturally open the map application (such as Google Maps) to find their current location (i.e., localization) and the way to their destination (i.e., navigation). At the same time, many people rely on their smartphones for localization when they walk into shopping malls, especially in large shopping centers. In outdoor environments, we usually leverage GPS to estimate our location. However, satellite signals are oftentimes weak inside buildings, resulting in large positioning errors and thus a poor navigation experience for users.

References

[1]

D. Vasisht, S. Kumar, and D. Katabi, D. 2016. {Decimeter-Level} Localization with a Single {WiFi} Access Point. Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16), 165--178.

Google Scholar

[2]

Airport Benchmarking. 2016. Airlines and Airports are Beaconizing. https://www. airportbenchmarking.com/airlines-and-airportsare- beaconizing/

Google Scholar

[3]

Locatify. 2020. BLE Beacon Museum Guide with real-time user location. https://locatify.com/blog/ case-studies/eldheimar-museum/.

Google Scholar

[4]

Y. Hu, F. Qian, Z. Yin, Z. Li, Z. Ji, Y. Han, Q. Xu, and W. Jiang. 2022. Experience: Practical indoor localization for malls. Proceedings of the 28th Annual International Conference on Mobile Computing and Networking, 82--93.

Google Scholar

[5]

P.M. Djuric, J.H. Kotecha, J. Zhang, Y. Huang, T. Ghirmai, M.F. Bugallo, and J. Miguez. 2003. Particle filtering. IEEE Signal Processing Magazine, 20(5), 19--38.

Crossref

Google Scholar

[6]

M. Wardat, W. Le, and H. Rajan. May 2021. Deeplocalize: Fault localization for deep neural networks. IEEE. 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 251--262.

Google Scholar

[7]

WebFX. 2020. What Is a Good Conversion Rate (and How Does Yours Compare)? https://www. webfx.com/blog/marketing/what-is-a-goodconversion- rate/.

Google Scholar

Recommendations

Localization of mobile users using trajectory matching
MELT '08: Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments

We present an algorithm enabling localization of moving wireless devices in an indoor setting. The method uses only RF signal strength and can be implemented without specialized hardware. The mobility of the users is modeled by learning a function ...
EyeLoc: Smartphone Vision Enabled Plug-n-play Indoor Localization in Large Shopping Malls
2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Indoor localization is an emerging demand in many large shopping malls. Existing indoor localization systems, however, require exhausted system bootstrap and calibration phases. The huge sunk cost usually hinders practical deployment of the indoor ...
A calibration-free RF localization system
SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

We present the design, implementation, and evaluation of NaviRize: a novel system that can provide calibration-free, accurate RF-based indoor localization that works in realistic environments on heterogeneous devices. NaviRize is based on the space ...

Comments

Information & Contributors

Information

Published In

cover image GetMobile: Mobile Computing and Communications

GetMobile: Mobile Computing and Communications Volume 27, Issue 1

March 2023

39 pages

ISSN:2375-0529

EISSN:2375-0537

DOI:10.1145/3599184

Editor:
Landon Cox
Microsoft Research

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2023

Published in SIGMOBILE-GETMOBILE Volume 27, Issue 1

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
86
Total Downloads

Downloads (Last 12 months)49
Downloads (Last 6 weeks)4

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Recommendations

Localization of mobile users using trajectory matching

EyeLoc: Smartphone Vision Enabled Plug-n-play Indoor Localization in Large Shopping Malls

A calibration-free RF localization system

Comments

Published In

Publisher

Publication History

Check for updates

Qualifiers

Other Metrics

Article Metrics

Other Metrics

Login options

Full Access

PDF

eReader

Abstract

References

Recommendations

Localization of mobile users using trajectory matching

EyeLoc: Smartphone Vision Enabled Plug-n-play Indoor Localization in Large Shopping Malls

A calibration-free RF localization system

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations