suggestion / "feature request": provide a few "typical, canonical applications"

rlabbe / Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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suggestion / "feature request": provide a few "typical, canonical applications" #405

Open jerabaul29 opened 2 years ago

jerabaul29 commented 2 years ago

Thanks for an awesome repo!

I was wondering if it may be useful to provide a few "typical, canonical applications", such as:

fusing data from a 9dof (3-axis accelerometer, gyroscope, magnetometer) to get an attitude quaternion estimate
fusing from a 9dof + GPS to get a full position estimate

The value there would be in particular to help with understanding what dynamic system for the prediction step would be "good" choices, as this can be quite confusing.

jerabaul29 commented 2 years ago

One such example of 'canonical' application to AHRS with accelerometer, gyroscope, magnetometer, that I find excellent, is: https://ahrs.readthedocs.io/en/latest/filters/ekf.html