Joint Magnetometer-IMU Calibration via Maximum A Posteriori Estimation
Chuan Huang, Gustaf Hendeby, Isaac Skog

TL;DR
This paper introduces a maximum a posteriori estimation method for joint magnetometer-IMU calibration, achieving higher accuracy and faster computation than existing methods, validated through simulations and real-world experiments.
Contribution
A novel MAP-based calibration approach that balances accuracy and efficiency, outperforming state-of-the-art methods in speed and precision.
Findings
Achieves 20-30% higher calibration accuracy.
Calibrates 30 sensor pairs in under two minutes.
Maintains navigation performance comparable to more accurate methods.
Abstract
This paper presents a new method for jointly calibrating a magnetometer and inertial measurement unit (IMU), focusing on balancing calibration accuracy and computational efficiency. The proposed method is based on a maximum a posteriori estimation framework, treating both the calibration parameters and orientation trajectory of the sensors as unknowns. This method enables efficient optimization of the calibration parameters using analytically derived derivatives. The performance of the proposed method is compared against that of two state-of-the-art methods. Simulation results demonstrate that the proposed method achieves the lowest root mean square error in calibration parameters, increasing the calibration accuracy by 20-30%, while maintaining competitive computational efficiency. Further validation through real-world experiments confirms the practical benefits of the proposed method.…
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