Gyroscope calibration matters because raw MEMS gyros have inherent errors — bias (non-zero output at rest), scale factor inaccuracies, and axis misalignment — that get worse with temperature and time. Since orientation is calculated by integrating angular velocity, even a tiny uncalibrated bias accumulates into significant drift within minutes. In a 6DoF/9DoF sensor fusion filter (Kalman, Madgwick, etc.), an uncalibrated gyro slows convergence and destabilizes the orientation estimate, forcing the system to rely more heavily on the accelerometer/magnetometer, which have their own noise and interference issues. Calibration removes these errors upfront, giving faster, more stable, and more accurate orientation tracking.
Gyroscope calibration matters because raw MEMS gyros have inherent errors — bias (non-zero output at rest), scale factor inaccuracies, and axis misalignment — that get worse with temperature and time. Since orientation is calculated by integrating angular velocity, even a tiny uncalibrated bias accumulates into significant drift within minutes. In a 6DoF/9DoF sensor fusion filter (Kalman, Madgwick, etc.), an uncalibrated gyro slows convergence and destabilizes the orientation estimate, forcing the system to rely more heavily on the accelerometer/magnetometer, which have their own noise and interference issues. Calibration removes these errors upfront, giving faster, more stable, and more accurate orientation tracking.