Kalman Filter is over 50 years old but is still one of the most used data fusion algorithms used today. It is a popular technique for estimating the state of a system. Kalman filters estimate a continuous state and gives a uni-modal distribution. Uni-modal = when we use KF for a robot position estimation, KF gives us only one possibility where the robot is located with a certain possibility