20 #ifndef STEERING_FUNCTIONS_HPP 21 #define STEERING_FUNCTIONS_HPP 52 double Sigma[16] = { 0.0 };
55 double Lambda[16] = { 0.0 };
61 double covariance[16] = { 0.0 };
double k1
Weight on longitudinal error.
double std_y
Standard deviation of localization in y.
double delta_s
Signed arc length of a segment.
double kappa
Curvature at the beginning of a segment.
double std_x
Standard deviation of localization in x.
double k2
Weight on lateral error.
Parameters of the motion noise model according to the book: Probabilistic Robotics, S. Thrun and others, MIT Press, 2006, p. 127-128 and p.204-206.
Description of a path segment with its corresponding control inputs.
State state
Expected state of the robot.
double x
Position in x of the robot.
Description of a kinematic car's state with covariance.
Parameters of the measurement noise.
double k3
Weight on heading error.
Parameters of the feedback controller.
double alpha1
Variance in longitudinal direction: alpha1*delta_s*delta_s + alpha2*kappa*kappa.
Description of a kinematic car's state.
double sigma
Sharpness (derivative of curvature with respect to arc length) of a segment.
double std_theta
Standard deviation of localization in theta.
double alpha3
Variance in lateral direction: alpha3*delta_s*delta_s + alpha4*kappa*kappa.
double kappa
Curvature at position (x,y)
double y
Position in y of the robot.
double theta
Orientation of the robot.