Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
resulting variable y remains Gaussian, with a mean of Aμ+B and a covariance of AΣA^T. This ensures that starting with a Gaussian and applying only linear transformations maintains a Gaussian distribution. Linear transformation of a Gaussian variable. Source: Probabilistic Robotics slides It’s time