Magnetometer calibration using inertial sensors
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Abstract (arXiv)
In this work we present a practical algorithm for calibrating a magnetometer for the presence of magnetic disturbances and for magnetometer sensor errors. To allow for combining the magnetometer measurements with inertial measurements for orientation estimation, the algorithm also corrects for misalignment between the magnetometer and the inertial sensor axes. The calibration algorithm is formulated as the solution to a maximum likelihood problem and the computations are performed offline. The algorithm is shown to give good results using data from two different commercially available sensor units. Using the calibrated magnetometer measurements in combination with the inertial sensors to determine the sensor's orientation is shown to lead to significantly improved heading estimates.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jan 2016.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1.
4 papers.
- 2021IDOL: Inertial Deep Orientation-Estimation and Localizationcited by 26
- 2024Enhancing Visual Inertial SLAM with Magnetic Measurementscited by 1
- 2023Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regressioncited by 0
- 2023DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platformscited by 0
- 2024Enhancing Visual Inertial SLAM with Magnetic Measurements16 Sep 2024
- 2023Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression25 Oct 2023
- 2023DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms15 Sep 2023
- 2021IDOL: Inertial Deep Orientation-Estimation and Localization8 Feb 2021