demonstration

Demo: Towards Flexible and Scalable Indoor Navigation

Authors:

Thomas MoscibrodaAuthors Info & Claims

MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

Pages 495 - 497

https://doi.org/10.1145/3117811.3119854

Published: 04 October 2017 Publication History

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Abstract

Bootstrapping efforts and scalability issues hinder large-scale deployment of indoor navigation systems. We present FollowUs, an easily-deployable (bootstrap-free) and scalable indoor navigation system. In addition to robust navigation through real-time trace-following, FollowUs integrates cloud services to process and combine traces at large scale. It can also leverage optional floor plans to further enhance navigation performance. We designed and implemented FollowUs, including a mobile app and cloud services on Azure, and validate its real-world usability.

References

[1]

Yuanchao Shu, Cheng Bo, Guobin Shen, Chunshui Zhao, Liqun Li, and Feng Zhao. Magicol: Indoor Localization Using Pervasive Magnetic Field and Opportunistic WiFi Sensing. IEEE Journal on Selected Areas in Communications, 33(7):1443--1457, 2015.

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[2]

Yuanchao Shu, Kang G Shin, Tian He, and Jiming Chen. Last-Mile Navigation Using Smartphones. In ACM MobiCom, 2015.

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Google Scholar

[3]

Jaewoo Chung, Matt Donahoe, Chris Schmandt, Ig-Jae Kim, Pedram Razavai, and Micaela Wiseman. Indoor location sensing using geo-magnetism. In ACM MobiSys, 2011.

Digital Library

Google Scholar

[4]

Meinard Müller. Dynamic time warping. Information retrieval for music and motion, 2007.

Digital Library

Google Scholar

[5]

Microsoft. Microsoft Path Guide. https://aka.ms/mspathguide.

Google Scholar

[6]

Yuanqing Zheng, Guobin Shen, Liqun Li, Chunshui Zhao, Mo Li, and Feng Zhao. Travi-navi: Self-deployable Indoor Navigation System. In ACM MobiCom, 2014.

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Cited By

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Ren XZhu SLiu FLi HLi HXiao XGao RZhang Z(2024)Help You Locate the Car: A Smartphone-Based Car-Finding System in Underground Parking LotIEEE Sensors Journal10.1109/JSEN.2024.334938524:5(7107-7118)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JSEN.2024.3349385
Gong JRen JZhang Y(2021)DeepNav: A scalable and plug-and-play indoor navigation system based on visual CNNPeer-to-Peer Networking and Applications10.1007/s12083-021-01216-0Online publication date: 10-Jul-2021
https://doi.org/10.1007/s12083-021-01216-0
Ahmed FMahmud MYeasin M(2019)RNN and CNN for Way-Finding and Obstacle Avoidance for Visually Impaired2019 2nd International Conference on Data Intelligence and Security (ICDIS)10.1109/ICDIS.2019.00041(225-228)Online publication date: Jun-2019
https://doi.org/10.1109/ICDIS.2019.00041

Index Terms

Demo: Towards Flexible and Scalable Indoor Navigation
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interactive systems and tools
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing theory, concepts and paradigms
      1. Mobile computing
2. Information systems
  1. World Wide Web
    1. Web applications
      1. Crowdsourcing

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Information & Contributors

Information

Published In

MobiCom '17: Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking

October 2017

628 pages

ISBN:9781450349161

DOI:10.1145/3117811

General Chair:
Kobus Van der Merwe
University of Utah
,
Program Chairs:
Ben Greenstein
Google, USA
,
Kannan Srinivasan
Ohio State University, USA

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 October 2017

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MobiCom '17

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SIGMOBILE

MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking

October 16 - 20, 2017

Utah, Snowbird, USA

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MobiCom '17 Paper Acceptance Rate 35 of 186 submissions, 19%;

Overall Acceptance Rate 440 of 2,972 submissions, 15%

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Cited By

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Ren XZhu SLiu FLi HLi HXiao XGao RZhang Z(2024)Help You Locate the Car: A Smartphone-Based Car-Finding System in Underground Parking LotIEEE Sensors Journal10.1109/JSEN.2024.334938524:5(7107-7118)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JSEN.2024.3349385
Gong JRen JZhang Y(2021)DeepNav: A scalable and plug-and-play indoor navigation system based on visual CNNPeer-to-Peer Networking and Applications10.1007/s12083-021-01216-0Online publication date: 10-Jul-2021
https://doi.org/10.1007/s12083-021-01216-0
Ahmed FMahmud MYeasin M(2019)RNN and CNN for Way-Finding and Obstacle Avoidance for Visually Impaired2019 2nd International Conference on Data Intelligence and Security (ICDIS)10.1109/ICDIS.2019.00041(225-228)Online publication date: Jun-2019
https://doi.org/10.1109/ICDIS.2019.00041

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