Skip to main navigation Skip to search Skip to main content

The Wisdom of 1,170 Teams: Lessons and Experiences from a Large Indoor Localization Competition

Yuming Hu, Xiubin Fan, Zhimeng Yin, Feng Qian*, Zhe Ji, Yuanchao Shu, Yeqiang Han, Qiang Xu, Jie Liu, Paramvir Bahl

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We organized an online fingerprint-based indoor localization competition in 2021. It attracted 1,170 teams worldwide. The teams were provided with a 60 GB dataset including WiFi, BLE, IMU, and geomagnetic field strength data collected from 204 buildings to build their localization algorithms, which were then evaluated against a separate test dataset. The competition received 28,009 submissions. The top team achieved an average accuracy of 1.50m. This paper reports the lessons we learned from analyzing the submissions, as well as our experiences in organizing the competition, through both qualitatively studying the teams’ algorithms and quantitatively characterizing the competition results. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Original languageEnglish
Title of host publicationACM MobiCom '23
Subtitle of host publicationProceedings of the 2023 The 29th Annual International Conference on Mobile Computing and Networking
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages566-580
ISBN (Print)978-1-4503-9990-6
DOIs
Publication statusPublished - 2023
Event29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023 - Riu Plaza España Hotel, Madrid, Spain
Duration: 2 Oct 20236 Oct 2023
https://sigmobile.org/mobicom/2023/

Conference

Conference29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023
Abbreviated titleACM MobiCom 2023
PlaceSpain
CityMadrid
Period2/10/236/10/23
Internet address

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Funding

We thank the anonymous reviewers and our shepherd fortheir insightful comments. Zhimeng Yin’s research was sup-ported by NSF China 62102332, ECS CityU 21216822, and CityUniversity of Hong Kong 9610491. Jie Liu’s research is partlysupported by the National Key R&D Program of China underGrant 2021ZD0110905, and an Open Competition Programof Heilongjiang Province under Grant 2021ZXJ05A03

Research Keywords

  • Indoor Localization
  • Fingerprinting
  • Online Competition

RGC Funding Information

  • RGC-funded

Fingerprint

Dive into the research topics of 'The Wisdom of 1,170 Teams: Lessons and Experiences from a Large Indoor Localization Competition'. Together they form a unique fingerprint.

Cite this