This is a document written by me to help understand Kalman Filter.
In some books like Probabilistic Robotics, Kalman Filter is introduced and derived in a probabilistic way. In this document, I am going to introduce Kalman Filter with control-based knowledge.
- How to understand Kalman Filter with the concept of observer;
- With the control diagram of Kalman Filter, how can we derive all five Kalman Filter equations;
- A practical example of IMU sensor fusion using Kalman Filter
- How to derive Extended Kalman Filter
- Example of Extended Kalman Filter:EKF-Slam