A Computationally Efficient Framework for Automatic Inertial Sensor Calibration
time-series
journal
Summary
This paper presents an R and C++ software framework implementing the Generalized Method of Wavelet Moments for calibrating the stochastic errors of low-cost inertial sensors, whose complex spectral structure makes standard methods unreliable. A key advantage is robustness to outliers, making the approach practical for real-world navigation and animation applications.
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