[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'
