Evaluation of accurate indoor localization systems in industrial environments
Open accessAbstract
Due to the fast emergence of location-based services and the absence of a widely adopted localization technology for indoor environments, Indoor Localization Systems have become a central topic of research in the last decade. Although there is a significant amount of research targeting indoor localization technologies and their performance, most of these efforts only focus on theory, system design or evaluation in non-industrial environments, usually offices or healthcare spaces. In this work, a detailed performance evaluation of two commercially available accurate localization technologies, based on Bluetooth Low Energy (LE) and Ultra-wideband (UWB), in an industrial environment is presented to create an experimental understanding of their behaviour in similar conditions and to investigate their potential to be used in industrial applications with concrete localization requirements. For this purpose, these localization technologies are examined with respect to various performance criteria in several scenarios in a real industrial site.
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In mobile robots and automatically guided vehicles, accurate self-localisation in various environments is a basis for further trajectory planning and optimisation.
“In mobile robots and automatically guided vehicles (AGV), accurate self-localisation in various environments [80,81] is a basis for further trajectory planning and optimisation.”
From Advanced Applications of Industrial Robotics: New Trends and Possibilities (2021) · cites this paper as [81]
The Introduction (page unavailable) identifies tracking robots as an industrial application of indoor localization, and the positioning tests evaluate accuracy in static and mobile conditions. The paper does not specifically discuss AGV self-localization; its mobile tests use tagged trolleys. The citation sits after “various environments,” so the later claim about trajectory planning is not treated as attributed to this source. (LLM, conf=0.76)
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Cites
Recent Advances in Wireless Indoor Localization Techniques and System
Farid, Z., Nordin, R., & Ismail, M. (2013) · Journal of Computer Networks and Communications · doi:10.1155/2013/185138 · Cited by 514 · see citing works
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Research works printed but not linked: 11
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Advanced Applications of Industrial Robotics: New Trends and Possibilities
Dzedzickis, A., Subačiūtė-Žemaitienė, J., Šutinys, E., Samukaitė-Bubnienė, U., & Bučinskas, V. (2021) · Applied Sciences · doi:10.3390/app12010135 · Cited by 228 · see citing works
- Authors
- Karaagac, A., Haxhibeqiri, J., Ridolfi, M., Joseph, W., Moerman, I., & Hoebeke, J.
- Affiliations
- Ghent University (BE)
- Venue
- 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
- Publisher
- IEEE
- Published
- 2017-09
- Pages
- 1-8
- OpenAlex
- W2758530958
- Cited by
- 40
- References
- 1
- Citations by year
- 2025: 2 · 2024: 5 · 2023: 6 · 2022: 9 · 2021: 5 · 2020: 5 · 2019: 6 · 2018: 2
- FWCI
- 5.03
- Type
- conference paper
- Language
- en
- Open access
- green
- biblio.ugent.be
- Licence
- other-oa
- Locations
- IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- Funders
- Agentschap Innoveren en Ondernemen
- Vlaamse regering
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optical Wireless Communication Technologies
- Physical Sciences › Computer Science › Computer Networks and Communications › Bluetooth and Wireless Communication Technologies
- Keywords
- indoor positioning, Bluetooth Low Energy, ultra-wideband, industrial environments, positioning accuracy, performance evaluation, location-based services, industrial applications
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