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A simple way to ease into understanding Kalman filters through experimentation is to implement a simpler alpha-beta prediction filter. Here is the link to the
by jschveibinz 6y ago
A simple way to ease into understanding Kalman filters through experimentation is to implement a simpler alpha-beta prediction filter. Here is the link to the Wikipedia article to get started: https://en.m.wikipedia.org/wiki/Alpha_beta_filter https://en.m.wikipedia.org/wiki/Alpha_beta_filter
- jschveibinz 6y agoAnd here is a link to an easy to read article on using Kalman filtering in a navigation application: https://towardsdatascience.com/kalman-filter-an-algorithm-for-making-sense-from-the-insights-of-various-sensors-fused-together-ddf67597f35e https://towardsdatascience.com/kalman-filter-an-algorithm-fo...