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Application of Gaussian Process Estimation for Magnetic Field Mapping

  • The applicability of characteristics of local magnetic fields for more precise determination of localization of subjects and/or objects in indoor environments, such as railway stations, airports, exhibition halls, showrooms, or shopping centers, is considered. An investigation has been carried out to find out whether and how low-cost magnetic field sensors and mobile robot platforms can be used toThe applicability of characteristics of local magnetic fields for more precise determination of localization of subjects and/or objects in indoor environments, such as railway stations, airports, exhibition halls, showrooms, or shopping centers, is considered. An investigation has been carried out to find out whether and how low-cost magnetic field sensors and mobile robot platforms can be used to create maps that improve the accuracy and robustness of later navigation with smartphones or other devices.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/5316
Bibliografische Angaben
Title (English):Application of Gaussian Process Estimation for Magnetic Field Mapping
Conference:FABULOUS 2021: EAI International Conference (5. : May 6-7 2021 : Virtual Event)
Author:Stefan HenselStaff MemberORCiDGND, Marin B. Marinov, Tino Schwilk, Dimitar Nikolov
Year of Publication:2021
Place of publication:Cham
Publisher:Springer
First Page:284
Last Page:298
Parent Title (English):Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2021)
Editor:Dragan Perakovic, Lucia Knapcikova
Volume:LNICST 382
ISBN:978-3-030-78458-4 (Print)
ISBN:978-3-030-78459-1 (Online)
ISSN:1867-8211 (Print)
ISSN:1867-822X (Online)
DOI:https://doi.org/10.1007/978-3-030-78459-1_21
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt