Abstract
This paper presents performance comparison results of geomagnetic field-based vector field SLAM (simultaneous localization and mapping) approaches for mobile robot localization. Generally, building structures distort the Earth’s magnetic field inside the building, and the variation of the magnetic field over time is extremely small. Therefore, the geomagnetic field can be applied to mobile robot localization. The geomagnetic field-based vector field SLAM uses only the Earth’s magnetic field signals and odometry data to estimate the robot state. Recently, there have been a lot of studies about the possibility of applying the geomagnetic field for mobile robot localization in indoor environments. To estimate the geomagnetic field, the geomagnetic field-based SLAM approaches use bilinear interpolation or bicubic interpolation. However, the approaches have a limitation that its performance highly depends on interpolation method. In this paper, we analysis the performance of the geomagnetic field-based SLAM with respect to interpolation methods. We provide performance comparison results by performing simulations.
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Wahlström N, Kok M, Schön TB, Gustafsson F (2013) Modeling magnetic fields using gaussian processes. In: Proceedings of the 38th international conference on acoustics, speech, and signal processing, pp 3522–3526
Solin A, Kok M, Wahlström N, Schön TB, Särkkä S (2018) Modeling and interpolation of the ambient magnetic field by Gaussian process. IEEE Trans Robot 34(4):1112–1127
Lee S-M, Jung J, Myung H (2013) Mobile robot localization using multiple geomagnetic field sensors. In: Proceedings of international conference on robot intelligence technology, pp 119–126
Lee S-M, Jung J, Myung H (2015) Geomagnetic field-based localization with bicubic interpolation for mobile robots. Int J Control Autom Syst 13(4):967–977
Lee S-M, Jung J, Kim S, Kim I-J, Myung H (2015) DV-SLAM (dual-sensor-based vector-field SLAM) and observability analysis. IEEE Trans Ind Electron 62(2):1101–1112
Jung J, Lee S-M, Myung H (2015) Indoor mobile robot localization and mapping based on ambient magnetic fields and aiding radio sources. IEEE Trans Instrum Meas 64(7):1922–1934
Gutmann J-S, Eade E, Fong P, Munich ME (2012) Vector field SLAM-localization by learning the spatial variation of continuous signals. IEEE Trans Rob 28(3):650–667
Acknowledgements
This research was supported by the Keimyung University Research Grant of 2017–2018 (grant no. 20170551).
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Lee, SM. (2020). A Performance Comparison of Geomagnetic Field-Based Vector Field SLAM Approaches. In: P. P. Abdul Majeed, A., Mat-Jizat, J., Hassan, M., Taha, Z., Choi, H., Kim, J. (eds) RITA 2018. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8323-6_18
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DOI: https://doi.org/10.1007/978-981-13-8323-6_18
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