sigma_point.h File Reference

#include <BayesFilters/AdditiveMeasurementModel.h>
#include <BayesFilters/AdditiveStateModel.h>
#include <BayesFilters/Data.h>
#include <BayesFilters/ExogenousModel.h>
#include <BayesFilters/GaussianMixture.h>
#include <BayesFilters/MeasurementModel.h>
#include <BayesFilters/StateModel.h>
#include <BayesFilters/VectorDescription.h>
#include <functional>
#include <Eigen/Dense>

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Classes
struct	bfl::sigma_point::UTWeight

Namespaces
	bfl
	Port of boost::any for C++11 compilers.
	bfl::sigma_point

Typedefs
using	bfl::sigma_point::FunctionEvaluation = std::function< std::tuple< bool, bfl::Data, bfl::VectorDescription >(const Eigen::Ref< const Eigen::MatrixXd > &)>
	A FunctionEvaluation return. More...

Functions
void	bfl::sigma_point::unscented_weights (const std::size_t n, const double alpha, const double beta, const double kappa, Eigen::Ref< Eigen::VectorXd > weight_mean, Eigen::Ref< Eigen::VectorXd > weight_covariance, double &c)
Eigen::MatrixXd	bfl::sigma_point::sigma_point (const GaussianMixture &state, const double c)
std::tuple< bool, GaussianMixture, Eigen::MatrixXd >	bfl::sigma_point::unscented_transform (const GaussianMixture &input, const UTWeight &weight, FunctionEvaluation function)
std::pair< GaussianMixture, Eigen::MatrixXd >	bfl::sigma_point::unscented_transform (const GaussianMixture &state, const UTWeight &weight, StateModel &state_model)
std::pair< GaussianMixture, Eigen::MatrixXd >	bfl::sigma_point::unscented_transform (const GaussianMixture &state, const UTWeight &weight, AdditiveStateModel &state_model)
std::tuple< bool, GaussianMixture, Eigen::MatrixXd >	bfl::sigma_point::unscented_transform (const GaussianMixture &state, const UTWeight &weight, MeasurementModel &meas_model)
std::tuple< bool, GaussianMixture, Eigen::MatrixXd >	bfl::sigma_point::unscented_transform (const GaussianMixture &state, const UTWeight &weight, AdditiveMeasurementModel &meas_model)