Zucconi, Alan. 2022. Kalman Filters: From Theory to Implementation. AlanZucconi.com, [Article]

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Abstract or Description

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. This is a tutorial that will be very helpful even if you are not working with hardware: game developers are often challenged by noise, especially when it comes to integrating data collected from gyroscopes and accelerometers. And even if you are not building a mobile game, you can use Kalman filters to increase the precision of your controllers.

Item Type:	Article
Keywords:	Kalman filters, Arduino, sensors
Related URLs:	https://www.alanzucconi.com/?p=8799 https://www.alanzucconi.com/?p=8963 https://www.alanzucconi.com/?p=14146
Departments, Centres and Research Units:	Computing
Dates:	Date Event 24 July 2022 Published Online
Item ID:	33952
Date Deposited:	16 Aug 2023 09:15
Last Modified:	16 Aug 2023 09:15
URI:	https://research.gold.ac.uk/id/eprint/33952

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