extended_kalman_filter.py File Reference

Namespaces
namespace	extended_kalman_filter

Functions
list[float]	extended_kalman_filter.get_u ()
list[float]	extended_kalman_filter.motion_model (list[float] x, list[float] u)
list[float]	extended_kalman_filter.jacob_f (list[float] x, list[float] u)
list[float]	extended_kalman_filter.observation_model (list[float] x)
ObservationOutput	extended_kalman_filter.observation (list[float] xTrue, list[float] xd, list[float] u)
	extended_kalman_filter.jacob_h ()
EKFEstimationOutput	extended_kalman_filter.ekf_estimation (xEst, PEst, z, u)
	extended_kalman_filter.main ()

Variables
str	extended_kalman_filter.BROKER = "localhost"
int	extended_kalman_filter.PORT = 1883
str	extended_kalman_filter.GPS_TOPIC = "GPS_TOPIC"
str	extended_kalman_filter.INPUT_TOPIC = "U_TOPIC"
str	extended_kalman_filter.STATE_TOPIC = "STATE_TOPIC"
bool	extended_kalman_filter.SHOW_ANIMATION = False
int	extended_kalman_filter.INPUT_NOISE = np.diag([1.0, np.deg2rad(30.0)]) ** 2
int	extended_kalman_filter.GPS_NOISE = np.diag([0.5, 0.5]) ** 2
float	extended_kalman_filter.DT = 0.1
float	extended_kalman_filter.SIM_TIME = 50.0
	extended_kalman_filter.F
	extended_kalman_filter.H
int	extended_kalman_filter.Q
int	extended_kalman_filter.R = np.diag([1.0, 1.0]) ** 2
	extended_kalman_filter.ObservationOutput
	extended_kalman_filter.EKFEstimationOutput