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The math behind Extended Kalman Filtering | by Sasha Przybylski | Medium

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If you clicked on this article, you’re probably wondering what the heck an extended Kalman filter is. We’ll get to that. But first, I want to tell you why you should care about them. Hey! I also made a video on the same topic, so if you prefer that format, feel free to check it out! Since I’m working in battery tech, let’s use an EV as an example. Perhaps the most classic would be Tesla EVs, which also happen to be working on autonomous driving. Autonomous vehicles rely on a ton of sensor information in order to get a sense of what their environment consists of. If the Tesla misinterprets its sensor information, or if the sensors malfunction, it could be fatal. Even if we take something as simple as GPS. In a canyon or somewhere else with sparse signal, the Tesla wouldn’t have very accurate sensor data, and so it may make inaccurate conclusions about where it is. 🗺️ There are countless examples where we have the exact same situation as with this Tesla — where we need to predict the st

The math behind Extended Kalman Filtering *featuring my Garmin ⌚ Sasha Przybylski 17 min read · Jan 9, 2024 -- 5 Listen Share If you clicked on this article, you’re probably wondering what the heck an extended Kalman filter is. We’ll get to that. But first, I want to tell you why you should care about them. Hey! I also made a video on the same topic, so if you prefer that format, feel free to check it out! Since I’m working in battery tech, let’s use an EV as an example. Perhaps the most classic would be Tesla EVs, which also happen to be working on autonomous driving. Autonomous vehicles rely

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