The author acknowledges that the Kalman Filter can be difficult to understand due to its reliance on advanced math. However, they argue that it is not necessary to fully grasp the mathematical derivation in order to use the filter effectively. The Kalman Filter is described as an algorithm that can estimate both observable and unobservable parameters with high accuracy in real-time. It is noted that this capability is particularly useful in robotics and real-time systems. The step-by-step process of the Kalman Filter algorithm is explained, along with its application in radar tracking. The author emphasizes the importance of initialization and updates in the filtering process. Overall, the author aims to simplify the understanding of the Kalman Filter and encourage its use in various projects.
https://thekalmanfilter.com/kalman-filter-explained-simply/