Habr: Kalman filter - it's easy

publication date: October 15, 2020

The positioning problem arises inherently in robot navigation tasks such as autonomous cars, drones or other devices.

There will always be noise in the data from the sensors. Even the most cunning algorithms will produce erroneous results if the input data is noisy.

You ask "what to do?", And we will answer:

1. Open a new article by Lev Borodinov about the Kalman filter

2. Read it.

3. Profit! Now you know how to get data without noise, muss and fuss.