Magnetic-Inertial Odometry Design Using Artificial AC Magnetic Fields in Outdoor Environment

Magnetic field vector measurement model derived from a simple geometric coil model has been widely reported. These field vector measurements can be used to estimate the pose of a vehicle at a high level of accuracy in real-time. In our previous work, we introduced a magnetic positioning system (MPS) using these magnetic field vector measurements and performed 2D pose estimation. In this paper, we first introduce the initial calibration of the magnetic field considering both the magnetic field measurements and theoretical models. Then, estimation of position, velocity, and attitude is performed by multi sensor fusion between calibrated MPS, odometer and INS. This is implemented in a tightly-coupled(TC) extended Kalman filter(EKF) structure. The results demonstrated precise three- dimensional navigation performance and the benefits of the tightly coupled structure, resulting in accurate navigation and robustness.

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Publication Details

Published
2024-09-04
DOI
https://doi.org/10.1109/mfi62651.2024.10705787
Citations
1
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
1.30
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article

Magnetic-Inertial Odometry Design Using Artificial AC Magnetic Fields in Outdoor Environment

Byungjin Lee, Sangkyung Sung, Seo Juyoung, Dongha Kwon
1 citations
Inertial Sensor and Navigation
1.30
article

Magnetic-Inertial Odometry Design Using Artificial AC Magnetic Fields in Outdoor Environment

Byungjin Lee, Sangkyung Sung, Seo Juyoung, Dongha Kwon
article en
1 citations

Abstract

Magnetic field vector measurement model derived from a simple geometric coil model has been widely reported. These field vector measurements can be used to estimate the pose of a vehicle at a high level of accuracy in real-time. In our previous work, we introduced a magnetic positioning system (MPS) using these magnetic field vector measurements and performed 2D pose estimation. In this paper, we first introduce the initial calibration of the magnetic field considering both the magnetic field measurements and theoretical models. Then, estimation of position, velocity, and attitude is performed by multi sensor fusion between calibrated MPS, odometer and INS. This is implemented in a tightly-coupled(TC) extended Kalman filter(EKF) structure. The results demonstrated precise three- dimensional navigation performance and the benefits of the tightly coupled structure, resulting in accurate navigation and robustness.

Konkuk University (KR), Korean Academy of Science and Technology (KR)
Openalex Percentile: Top 12%
Inertial Sensor and Navigation
1.30
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Magnetic-Inertial Odometry Design Using Artificial AC Magnetic Fields in Outdoor Environment — Byungjin Lee, Sangkyung Sung, et al. · (2024) | TGRS Research Map | TGRS