Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
observation (the innovation or residual) is added to the mean. This adjustment brings the mean closer to the measurement, the extent of which is influenced by our confidence in the sensors (as defined by the covariance matrix Q). The Kalman Filter in one figure. Source: Kalman and Bayesian Filters