Application of Gaussian Process Estimation for Magnetic Field Mapping

Stefan Hensel; Marin B. Marinov; Tino Schwilk; Dimitar Nikolov

Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 5th EAI International Conference, FABULOUS 2021, Virtual Event, May 6–7, 2021, Proceedings

Research Article

Application of Gaussian Process Estimation for Magnetic Field Mapping

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@INPROCEEDINGS{10.1007/978-3-030-78459-1_21,
    author={Stefan Hensel and Marin B. Marinov and Tino Schwilk and Dimitar Nikolov},
    title={Application of Gaussian Process Estimation for Magnetic Field Mapping},
    proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 5th EAI International Conference, FABULOUS 2021, Virtual Event, May 6--7, 2021, Proceedings},
    proceedings_a={FABULOUS},
    year={2021},
    month={6},
    keywords={Autonomous navigation Gaussian processes Localization and mapping Machine learning Magnetic field sensors ROS SLAM},
    doi={10.1007/978-3-030-78459-1_21}
}

Stefan Hensel
Marin B. Marinov
Tino Schwilk
Dimitar Nikolov
Year: 2021
Application of Gaussian Process Estimation for Magnetic Field Mapping
FABULOUS
Springer
DOI: 10.1007/978-3-030-78459-1_21

Stefan Hensel¹, Marin B. Marinov²^,*, Tino Schwilk¹, Dimitar Nikolov²

1: Department for Electrical Engineering, University of Applied Sciences Offenburg, Badstraße 24
2: Department of Electronics, Technical University of Sofia, 8, Kliment Ohridski Blvd.

*Contact email: mbm@tu-sofia.bg

Abstract

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 to create maps that improve the accuracy and robustness of later navigation with smartphones or other devices.

Keywords: Autonomous navigation Gaussian processes Localization and mapping Machine learning Magnetic field sensors ROS SLAM

Published: 2021-06-20
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-78459-1_21

Application of Gaussian Process Estimation for Magnetic Field Mapping

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