kalman_filter.hpp File Reference

#include <helper_functions/float_comparisons.hpp>
#include <motion_model/motion_model_interface.hpp>
#include <motion_model/stationary_motion_model.hpp>
#include <state_estimation/noise_model/noise_interface.hpp>
#include <state_estimation/state_estimation_interface.hpp>
#include <state_estimation/visibility_control.hpp>
#include <Eigen/LU>
#include <limits>
#include <vector>

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Classes
class	autoware::common::state_estimation::KalmanFilter< MotionModelT, NoiseModelT >
	A Kalman filter implementation. More...

Namespaces
	autoware
	This file defines the lanelet2_map_provider_node class.
	autoware::common
	autoware::common::state_estimation

Functions
template<typename MotionModelT , typename NoiseModelT >
auto	autoware::common::state_estimation::make_kalman_filter (const MotionModelT &motion_model, const NoiseModelT &noise_model, const typename MotionModelT::State &initial_state, const typename MotionModelT::State::Matrix &initial_covariance)
	A utility function that creates a Kalman filter. More...
template<typename StateT >
auto	autoware::common::state_estimation::make_correction_only_kalman_filter (const StateT &initial_state, const typename StateT::Matrix &initial_covariance)
	A utility function that creates a Kalman filter that is to be used for correction only, i.e., this Kalman filter cannot predict the state forward in time. More...
template<typename MotionModelT , typename NoiseModelT >
auto	autoware::common::state_estimation::make_kalman_filter (const MotionModelT &motion_model, const NoiseModelT &noise_model, const typename MotionModelT::State &initial_state, const std::vector< typename MotionModelT::State::Scalar > &initial_variances)
	A utility function that creates a Kalman filter from a vector of variances. More...