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Localizing Operators in the Smart Factory: a Review of Existing Techniques and systems
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik)ORCID iD: 0000-0002-1699-3778
Royal Institute of Technology.
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2016 (English)In: Proceedings of 2016 International Symposium on Flexible Automation, IEEE Computer Society, 2016, 186-192 p.Conference paper (Refereed)
Abstract [en]

The aim of this paper to give a comprehensive overview of existing techniques and state-of-the-art systems for indoor localization that could be adopted in smart factories of the future. We present different techniques for calculating the position of a moving object using signal transmission and signal measurement,and compare their advantages and disadvantages. The paper also includes a discussion of various localization systems available in the market and compares their most important features. It ends with a discussion of important issues to consider in future work in order to fully implement indoor, real-time localization of operators in the smart factory.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016. 186-192 p.
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Other Engineering and Technologies not elsewhere specified
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-12909ISBN: 978-1-5090-3466-6/16/OAI: oai:DiVA.org:his-12909DiVA: diva2:967786
Conference
International Symposium on Flexible Automation
Available from: 2016-09-09 Created: 2016-09-09 Last updated: 2016-09-12Bibliographically approved

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fulltext(318 kB)27 downloads
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Syberfeldt, AnnaAyani, MikelHolm, MagnusWang, Lihui
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