The second term of Self-Driving Car Engineer Nanodegree devotes Robotics. Therefore, the first two projects we spend on learning Kalman filter (KF) and its variations. We implemented three different versions of KF suitable for SDC and I decided to write and overview which describe key differences. The first question is why we need KF at all. Why can’t we rely on measurement we receive from our sen
![Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter](https://cdn-ak-scissors.b.st-hatena.com/image/square/803098b8262a484fb866113d5a5dc3213dbcb92f/height=288;version=1;width=512/https%3A%2F%2Fmiro.medium.com%2Fv2%2Fresize%3Afit%3A1200%2F1%2AF3adyz-qp0g3nd3UnvOSmw.png)