Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
trust is low, the reduction in covariance is smaller, retaining more uncertainty. However, regardless of sensor reliability, the covariance always decreases, reflecting the valuable information provided by the sensors. The algorithm concludes in line 7 by returning the posterior. When called