[0, 0, 0, 0] # y' ]) acceleration = numpy.array([[2], [0]]) dt = 1 kfilter = Kalman(initial_state, initial_covar) observation = numpy.array([ [4260], # x [282], # x' [0], # y [0] # y' ]) kfilter.estimate(observation, acceleration, dt) observation = numpy.array([ [4550], # x [285], # x' [0], # y [0] # y' ]) kfilter.estimate(observation, acceleration, dt) observation = numpy.array([ [4860], # x [286], # x' [0], # y [0] # y'