def __init__(self, x, freq):
EKF.__init__(self,
9,
6,
qval=[0.001] * 9,
rval=[0.008, 0.008, 0.008, 0.04, 0.04, 0.04],
init_x=x)
self.dt = 1 / freq
def __init__(self, x, freq):
EKF.__init__(self,
9,
3,
qval=[
0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001,
0.001, 0.001
],
rval=[0.09, 0.09, 0.09],
init_x=x)
self.dt = 1 / freq
def __init__(self):
# Four states, two measurements (X,Y)
EKF.__init__(self, 2, 2)
def __init__(self):
# Two state values (mouse coordinates), two measurement values (mouse coordinates)
EKF.__init__(self, 2, 2)
def __init__(self):
# One state (ASL), two measurements (baro, sonar), with larger-than-usual
# measurement covariance noise to help with sonar blips.
EKF.__init__(self, 1, 2, rval=.5)
def __init__(self):
# Four states, two measurements (X,Y)
EKF.__init__(self, 2, 2)
def __init__(self):
# One state (ASL), two measurements (baro, sonar), with larger-than-usual
# measurement covariance noise to help with sonar blips.
EKF.__init__(self, 1, 2, rval=.5)
def __init__(self):
EKF.__init__(self, 2, 2)
def __init__(self):
EKF.__init__(self, 3, 4, rval=.1) # covariance arbitrary rn lol