Skip to main content

Main menu

  • Home
  • Current Issue
  • Archive
  • About Us
    • About NAVIGATION
    • Editorial Board
    • Peer Review Statement
    • Open Access
  • More
    • Email Alerts
    • Info for Authors
    • Info for Subscribers
  • Other Publications
    • ion

User menu

  • My alerts

Search

  • Advanced search
NAVIGATION: Journal of the Institute of Navigation
  • Other Publications
    • ion
  • My alerts
NAVIGATION: Journal of the Institute of Navigation

Advanced Search

  • Home
  • Current Issue
  • Archive
  • About Us
    • About NAVIGATION
    • Editorial Board
    • Peer Review Statement
    • Open Access
  • More
    • Email Alerts
    • Info for Authors
    • Info for Subscribers
  • Follow ion on Twitter
  • Visit ion on Facebook
  • Follow ion on Instagram
  • Visit ion on YouTube
Research ArticleOriginal Article
Open Access

TrackMe—A Hybrid Radio-Optical System for Assets Localization in Industry 4.0 Plants

Kamil Staniec, Michał Kowal, Sławomir Kubal, and Piotr Piotrowski
NAVIGATION: Journal of the Institute of Navigation June 2022, 69 (2) navi.524; DOI: https://doi.org/10.33012/navi.524
Kamil Staniec
Department of Telecommunications and Teleinformatics, Wrocław University of Science and Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
Michał Kowal
Department of Telecommunications and Teleinformatics, Wrocław University of Science and Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sławomir Kubal,
Department of Telecommunications and Teleinformatics, Wrocław University of Science and Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Piotr Piotrowski
Department of Telecommunications and Teleinformatics, Wrocław University of Science and Technology
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • References
  • Info & Metrics
  • PDF
Loading

REFERENCES

  1. ↵
    1. Abdelgawad A.
    (2014). Localization system for indoor robot using RFID. IEEE Symposium on Industrial Electronics & Applications (ISIEA), Kota Kinabalu, Malaysia. https://doi.org/10.1109/ISIEA.2014.8049890
  2. ↵
    1. Brena, R. F.,
    2. Garcia-Vazquez, J. P.,
    3. Galván-Tejada, C. E.,
    4. Munoz-Rodriguez, D.,
    5. Vargas-Rosales, C., &
    6. Fangmeyer, J.
    (2017). Evolution of indoor positioning technologies: A survey. Journal of Sensors. https://doi.org/10.1155/2017/2630413
  3. ↵
    1. Collotta, M.,
    2. Lo Cascio, A.,
    3. Pau, G. &
    4. Scatá, G.
    (2013), Smart localization platform for IEEE 802.11 industrial networks. 2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES), Porto, Portugal. https://doi.org/10.1109/SIES.2013.6601472
  4. ↵
    1. Daely, P. T., &
    2. Kim, D.-S.
    (2019). Bio-inspired cooperative localization in industrial wireless sensor network. 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS), Sundsvall, Sweden. https://doi.org/10.1109/WFCS.2019.8758004
  5. ↵
    JADAK. (2018). Thingmagic nano user guide. https://cdn.sparkfun.com/assets/4/e/5/5/0/SEN-14066_datasheet.pdf
  6. ↵
    1. James, S.,
    2. Verrinder, R. A.,
    3. Sabatta, D. &
    4. Shahdi, A.
    (2012). Localisation and mapping in GPS-denied environments using RFID tags. 2012 5th Robotics and Mechatronics Conference of South Africa, Johannesberg, South Africa. https://doi.org/10.1109/ROBOMECH.2012.6558464
  7. ↵
    1. Karaagac, A.,
    2. Haxhibeqiri, J.,
    3. Ridolfi, M.,
    4. Joseph, W.,
    5. Moerman, I., &
    6. Hoebeke J.
    (2017). Evaluation of accurate indoor localization systems in industrial environments. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, Cyprus. https://doi.org/10.1109/ETFA.2017.8247587
  8. ↵
    1. Li, S.,
    2. Hedley, M.,
    3. Bengston, K.,
    4. Humphrey, D.,
    5. Johnson, M., &
    6. Ni, W.
    (2019). Passive localization of standard WiFi devices. IEEE Systems Journal, 13(4), 3929–3932. https://doi.org/10.1109/JSYST.2019.2903278
  9. ↵
    1. Lymberopoulos, D., &
    2. Liu J.
    (2017). The Microsoft indoor localization competition: Experiences and lessons learned. IEEE Signal Processing Magazine, 34(5), 125–140. https://doi.org/10.1109/MSP.2017.2713817
  10. ↵
    1. Martinelli, A.,
    2. Jayousi, S.,
    3. Caputo, S., &
    4. Mucchi, L.
    (2019). UWB positioning for industrial applications: The galvanic plating case study. 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy. https://doi.org/10.1109/IPIN.2019.8911746
  11. ↵
    1. Obeidat, H.,
    2. Shuaieb, W.,
    3. Obeidat, O., &
    4. Abd-Alhameed, R.
    (2021) A review of indoor localization techniques and wireless technologies. Wireless Personal Communications, 119, 289–327. https://doi.org/10.1007/s11277-021-08209-5
  12. ↵
    1. Oguntala, G.,
    2. Abd-Alhameed, R.,
    3. Jones, S.,
    4. Noras, J.,
    5. Patwary, M., &
    6. Rodriguez, J.
    (2018). Indoor location identification technologies for real-time IoT-based applications: An inclusive survey. Computer Science Review, 30, 55–79. https://doi.org/10.1016/j.cosrev.2018.09.001
  13. ↵
    1. Schroeer, G.
    (2018). A real-time UWB multi-channel indoor positioning system for industrial scenarios. 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nantes, France. https://doi.org/10.1109/IPIN.2018.8533792
  14. ↵
    1. Stojanović, D., &
    2. Stojanović, N.
    (2014). Indoor localization and tracking: Methods, technologies and research challenges. Facta Universitatis Series: Automatic Control and Robotics, 13(1). 57–72. http://casopisi.junis.ni.ac.rs/index.php/FUAutContRob/article/view/208
  15. ↵
    1. Tarkowski, M.,
    2. Bizewski, K.,
    3. Rzymowski, M.,
    4. Nyka, K., &
    5. Kulas, L.
    (2016). Wireless multimodal localization sensor for industrial applications. 2016 21st International Conference on Microwave, Radar and Wireless Communications (MIKON), Krakow, Poland. https://doi.org/10.1109/MIKON.2016.7491980
  16. ↵
    1. Wye, K. F. P.,
    2. Kanagaraj, E.,
    3. Zakaria, S. M. M. S.,
    4. Kamarudin, L. M.,
    5. Zakaria, A., &
    6. Ahmad, N. B.
    (2019) 2.4GHz RF based active RFID localization in industrial environment. 2019 IEEE International Conference on Sensors and Nanotechnology, Penang, Malaysia. https://doi.org/10.1109/SENSORSNANO44414.2019.8940048
  17. ↵
    1. Zafari, F.,
    2. Gkelias, A., &
    3. Leung, K. K.
    (2019). A survey of indoor localization systems and technologies. IEEE Communications Surveys & Tutorials, 21(3), 2568–2599. https://doi.org/10.1109/COMST.2019.2911558
PreviousNext
Back to top

In this issue

NAVIGATION: Journal of the Institute of Navigation: 69 (2)
NAVIGATION: Journal of the Institute of Navigation
Vol. 69, Issue 2
Summer 2022
  • Table of Contents
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on NAVIGATION: Journal of the Institute of Navigation.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
TrackMe—A Hybrid Radio-Optical System for Assets Localization in Industry 4.0 Plants
(Your Name) has sent you a message from NAVIGATION: Journal of the Institute of Navigation
(Your Name) thought you would like to see the NAVIGATION: Journal of the Institute of Navigation web site.
Citation Tools
TrackMe—A Hybrid Radio-Optical System for Assets Localization in Industry 4.0 Plants
Kamil Staniec, Michał Kowal, Sławomir Kubal,, Piotr Piotrowski
NAVIGATION: Journal of the Institute of Navigation Jun 2022, 69 (2) navi.524; DOI: 10.33012/navi.524

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
TrackMe—A Hybrid Radio-Optical System for Assets Localization in Industry 4.0 Plants
Kamil Staniec, Michał Kowal, Sławomir Kubal,, Piotr Piotrowski
NAVIGATION: Journal of the Institute of Navigation Jun 2022, 69 (2) navi.524; DOI: 10.33012/navi.524
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • 1 INTRODUCTION
    • 2 THE TRACKME LOCALIZATION SYSTEM—OPERATIONAL PRINCIPLES AND TECHNOLOGIES
    • 3 ENERGETIC CONSIDERATIONS—POWER SAVINGS
    • 4 THE DATA GATHERING PROCESS
    • 5 THE TRACKME SOFTWARE
    • 6 CONCLUSIONS AND FURTHER RESEARCH
    • HOW TO CITE THIS ARTICLE
    • REFERENCES
  • Figures & Data
  • Supplemental
  • References
  • Info & Metrics
  • PDF

Related Articles

  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • ATLAS: Orbit Determination and Time Transfer for a Lunar Radio Navigation System
  • GNSS L5/E5a Code Properties in the Presence of a Blanker
  • Robust Interference Mitigation in GNSS Snapshot Receivers
Show more Original Article

Similar Articles

Keywords

  • duty cycle
  • InFlux
  • localization
  • RFID
  • tracking

Unless otherwise noted, NAVIGATION content is licensed under a Creative Commons CC BY 4.0 License.

© 2025 The Institute of Navigation, Inc.

Powered by HighWire