Comments (2)
Fusion uses a cross product operation to compute the error but this is a minor difference. The more notable changes are the offset correction algorithm, and angular rate recovery, acceleration rejection, and magnetic rejection features which all provide significant improvement to accuracy and performance. There are numerous other changes such as support for different axes conventions and output types.
I suggest the best way to interpret the difference is the that Fusion is the Madgwick algorithm after of over a decade of experience developing IMU products and providing consulting services to a wide range of applications.
The README provides a high level theory of operation. This comment explains the derivation of the rejection features. You are welcome to ask specific questions.
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Thanks for the reply, really helpful!
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Related Issues (20)
- Python 3.12 Install Issue HOT 3
- After most recent changes, FusionAhrs.initialising flag never set. HOT 8
- Rust bindings HOT 7
- Guidance on tuning Fusion for "responsiveness" HOT 2
- Inferring gyroscope range HOT 3
- Roll and pitch relative to device, yaw relative to earth HOT 2
- Linear/earth acceleration very slow to catch up with movement HOT 3
- TEST data HOT 1
- Python "No code object available for imufusion" with Setup.py or pip install HOT 4
- Measurement convention for sensors other than x-imu HOT 3
- How to use the magnetometer data with different sampling frequency from the inertial sensors? HOT 1
- Gyroscope Offset Algorithm HOT 7
- Link to dissertation is broken HOT 1
- Q: Influence of motion and external acceleration HOT 3
- Very noisy Roll Pitch Yaw data HOT 5
- Recommended sampling rate? HOT 2
- yaw value changes while rotating on only roll or pitch axis. HOT 3
- 5 seconds delay in real-time operation (python) HOT 2
- Need some help setting up the algorithm. HOT 14
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