Robotics, Kalman Filter, Robot Operating System, State Estimation, Artificial Intelligence.
initial_covariance # Initial uncertainty self.A, self.B = velocity_motion_model() # The action model to use. Returns A and B matrices # Standard deviations for the noise in x, y, and theta (process or action model noise) self.proc_noise_std = np.array(proc_noise_std) # Process noise covariance (R)