> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/note/kalman-filter.md).

# Kalman Filters

* [How a Kalman filter works, in pictures - Bzarg](https://www.bzarg.com/p/how-a-kalman-filter-works-in-pictures/)
* [Special Topics - The Kalman Filter (1 of 55) What is a Kalman Filter? - YouTube](https://www.youtube.com/watch?v=CaCcOwJPytQ)
* [Derive yourself a Kalman filter -- Arthur::Carcano](https://ngr.yt/blog/kalman/)
* [simondlevy/TinyEKF: Lightweight C/C++ Extended Kalman Filter with Python for prototyping](https://github.com/simondlevy/TinyEKF)
* [Automatic Time Series Smoothing with ASAP · Stanford DAWN](https://dawn.cs.stanford.edu/2017/08/07/asap/)
* [The Kalman Filter. Helping Chickens Cross the Road.–Feature Column](https://mathvoices.ams.org/featurecolumn/2022/02/01/the-kalman-filter-helping-chickens-cross-the-road/)
* [Kalman Tutorial–Simon D. Levy](https://simondlevy.academic.wlu.edu/kalman-tutorial/)
* [Bilgin's Blog - Kalman Filter For Dummies](http://bilgin.esme.org/BitsAndBytes/KalmanFilterforDummies)
* [How a Kalman filter works, in pictures - Bzarg](http://www.bzarg.com/p/how-a-kalman-filter-works-in-pictures/)
* [Understanding the Basis of the Kalman Filter.pdf - Google Drive](https://drive.google.com/file/d/1nVtDUrfcBN9zwKlGuAclK-F8Gnf2M_to/view)
* [sharathsrini/Kalman-Filter-for-Sensor-Fusion: A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain](https://github.com/sharathsrini/Kalman-Filter-for-Sensor-Fusion)
* [Sensor Fusion—Part 1: Kalman Filter basics - by Percy Jaiswal - Towards Data Science](https://towardsdatascience.com/sensor-fusion-part-1-kalman-filter-basics-4692a653a74c)
* [Sensor Fusion—Part 2: Kalman Filter Code - by Percy Jaiswal - Towards Data Science](https://towardsdatascience.com/sensor-fusion-part-2-kalman-filter-code-78b82c63dcd)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://irosyadi.gitbook.io/irosyadi/note/kalman-filter.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
