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Hi everyone! πŸ‘‹

This week I am publishing not one, but TWO (2!!!) articles! πŸ€ͺ

These two posts introduce the super interesting topic of Kalman Filters. In case you have never heard of them, Kalman Filters are an important technique that allows to reduce the impact noise is having on sensor measurements.

If you are working in the field of gamedev, this might be very relevant to you since many games have to read input from sensors such as touch screens, accelerometers, gyroscopes, etc.

The next two parts will be released soon, but are already available for preview to all $5+ patrons:

The final part, which will include the full code and implementation, will be released at a later time.

Thank you again for your support, and if you have any question feel free to reach out to me on Discord!

πŸ§”πŸ»

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Kalman Filters: From Theory to Implementation - Alan Zucconi

This series of articles will introduce the Kalman filter, a powerful technique that is used to reduce the impact of noise in sensors. If you are working with Arduino, this tutorial will teach you how to reliably read data from your sensors.

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