ποΈ Kalman Filter: From Theory to Implementation β Series Preview
Added 2022-07-24 19:30:53 +0000 UTCHi everyone! π
For the ones of you who have been following this blog since its very beginning, you may remember that one of my first tutorials was "A Gentle Introduction to Kalman Filters". After so many years, I decided it was time to re-visit the subject, with a PROPER series divided into 5 parts.
The first four are already available for preview/early access to any $5+ patrons:
- Part 1: Kalman Filters: From Theory to Implementation
- Part 2: The Mathematics of Kalman Filter
- Part 3: Modelling Kalman Filters
- Part 4: The Extended Kalman Filter
The fifth part, which will include the full implementation and code, will be released in August.
In case you are not familiar with what a Kalman Filters is, it is a tool that allows you to reduce the noise from sensors. This is obviously super important if you are working with electronics (such as Arduino), but is also very helpful for mobile games which are often using inputs from sensors like accelerometers and gyroscopes.
I am very happy with the overall result, since I can safely say this is the most complex and interactive series I have ever made. It counts 15 fully interactive charts, and hundreds of step-by-steps equations!
Lastly, I was to mention this will be my entry for the Summer of Maths Exposition 2 content! I'm SO excited about this!
As always, thank you for your support and please, let me know if you have any questions or comment!
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