A | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
A_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
B | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
B_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
Base_class typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
computeKalmanGain(const statecov_t &sc, [[maybe_unused]] const z_t &z, const R_t &R, const H_t &H) const (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlineprotectedvirtual |
correct(const statecov_t &sc, const z_t &z, const R_t &R) const override | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlinevirtual |
mrs_lib::KalmanFilter::correct(const statecov_t &sc, const z_t &z, const R_t &R) const =0 | mrs_lib::KalmanFilter< n_states, n_inputs, n_measurements > | pure virtual |
correction_impl(const statecov_t &sc, const z_t &z, const R_t &R, const H_t &H) const (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlineprotected |
covariance_predict(const A_t &A, const P_t &P, const Q_t &Q, const double dt) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlineprotectedstatic |
H | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
H_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
invert_W(R_t W) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlineprotectedstatic |
K_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
LKF() | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inline |
LKF(const A_t &A, const B_t &B, const H_t &H) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inline |
m | mrs_lib::LKF< n_states, n_inputs, n_measurements > | static |
n | mrs_lib::LKF< n_states, n_inputs, n_measurements > | static |
p | mrs_lib::LKF< n_states, n_inputs, n_measurements > | static |
P_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
predict(const statecov_t &sc, const u_t &u, const Q_t &Q, [[maybe_unused]] double dt) const override | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlinevirtual |
mrs_lib::KalmanFilter::predict(const statecov_t &sc, const u_t &u, const Q_t &Q, double dt) const =0 | mrs_lib::KalmanFilter< n_states, n_inputs, n_measurements > | pure virtual |
Q_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
R_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
state_predict(const A_t &A, const x_t &x, [[maybe_unused]] const B_t &B, [[maybe_unused]] const u_t &u) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlineprotectedstatic |
state_predict(const A_t &A, const x_t &x, const B_t &B, const u_t &u) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >) | mrs_lib::LKF< n_states, n_inputs, n_measurements > | inlineprotectedstatic |
statecov_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
u_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
x_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |
z_t typedef | mrs_lib::LKF< n_states, n_inputs, n_measurements > | |