Description of a kinematic car's state with covariance. More...

#include <steering_functions.hpp>

Public Attributes
double	covariance [16] = { 0.0 }
	Covariance of the state given by Sigma + Lambda: (x_x x_y x_theta x_kappa y_x y_y y_theta y_kappa theta_x theta_y theta_theta theta_kappa kappa_x kappa_y kappa_theta kappa_kappa) More...

double	Lambda [16] = { 0.0 }
	Covariance of the state estimate due to the absence of measurements. More...

double	Sigma [16] = { 0.0 }
	Covariance of the state estimation due to motion and measurement noise. More...

State	state
	Expected state of the robot. More...

Detailed Description

Description of a kinematic car's state with covariance.

Definition at line 63 of file steering_functions.hpp.

Member Data Documentation

◆ covariance

double steering::State_With_Covariance::covariance[16] = { 0.0 }

Covariance of the state given by Sigma + Lambda: (x_x x_y x_theta x_kappa y_x y_y y_theta y_kappa theta_x theta_y theta_theta theta_kappa kappa_x kappa_y kappa_theta kappa_kappa)

Definition at line 78 of file steering_functions.hpp.

◆ Lambda

double steering::State_With_Covariance::Lambda[16] = { 0.0 }

Covariance of the state estimate due to the absence of measurements.

Definition at line 72 of file steering_functions.hpp.

◆ Sigma

double steering::State_With_Covariance::Sigma[16] = { 0.0 }

Covariance of the state estimation due to motion and measurement noise.

Definition at line 69 of file steering_functions.hpp.

◆ state

State steering::State_With_Covariance::state

Expected state of the robot.

Definition at line 66 of file steering_functions.hpp.

The documentation for this struct was generated from the following file: