CKalmanFilterCapable.h File Reference

#include <mrpt/math/CMatrixFixedNumeric.h>
#include <mrpt/math/CMatrixTemplateNumeric.h>
#include <mrpt/math/CArrayNumeric.h>
#include <mrpt/math/num_jacobian.h>
#include <mrpt/math/utils.h>
#include <mrpt/config/CConfigFileBase.h>
#include <mrpt/system/CTimeLogger.h>
#include <mrpt/core/aligned_std_vector.h>
#include <mrpt/config/CLoadableOptions.h>
#include <mrpt/containers/stl_containers_utils.h>
#include <mrpt/system/COutputLogger.h>
#include <mrpt/system/CTicTac.h>
#include <mrpt/io/CFileOutputStream.h>
#include <mrpt/typemeta/TEnumType.h>
#include <mrpt/system/vector_loadsave.h>
#include "CKalmanFilterCapable_impl.h"

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Classes
class	mrpt::bayes::CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE >
	Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations. More...
struct	mrpt::bayes::TKF_options
	Generic options for the Kalman Filter algorithm in itself. More...
class	mrpt::bayes::CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE >
	Virtual base for Kalman Filter (EKF,IEKF,UKF) implementations. More...

Namespaces
	mrpt
	This is the global namespace for all Mobile Robot Programming Toolkit (MRPT) libraries.
	mrpt::bayes
	The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms.
	mrpt::bayes::detail
	Auxiliary functions, for internal usage of MRPT classes.

Enumerations
enum	mrpt::bayes::TKFMethod { mrpt::bayes::kfEKFNaive = 0, mrpt::bayes::kfEKFAlaDavison, mrpt::bayes::kfIKFFull, mrpt::bayes::kfIKF }
	The Kalman Filter algorithm to employ in bayes::CKalmanFilterCapable For further details on each algorithm see the tutorial: http://www.mrpt.org/Kalman_Filters. More...

Functions
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t FEAT_SIZE, size_t ACT_SIZE, typename KFTYPE >
size_t	mrpt::bayes::detail::getNumberOfLandmarksInMap (const CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE > &obj)
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t ACT_SIZE, typename KFTYPE >
size_t	mrpt::bayes::detail::getNumberOfLandmarksInMap (const CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE > &obj)
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t FEAT_SIZE, size_t ACT_SIZE, typename KFTYPE >
bool	mrpt::bayes::detail::isMapEmpty (const CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE > &obj)
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t ACT_SIZE, typename KFTYPE >
bool	mrpt::bayes::detail::isMapEmpty (const CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE > &obj)
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t FEAT_SIZE, size_t ACT_SIZE, typename KFTYPE >
void	mrpt::bayes::detail::addNewLandmarks (CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE > &obj, const typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE >::vector_KFArray_OBS &Z, const std::vector< int > &data_association, const typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE >::KFMatrix_OxO &R)
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t ACT_SIZE, typename KFTYPE >
void	mrpt::bayes::detail::addNewLandmarks (CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE > &obj, const typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE >::vector_KFArray_OBS &Z, const std::vector< int > &data_association, const typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE >::KFMatrix_OxO &R)
	MRPT_FILL_ENUM (kfEKFNaive)
	MRPT_FILL_ENUM (kfEKFAlaDavison)
	MRPT_FILL_ENUM (kfIKFFull)
	MRPT_FILL_ENUM (kfIKF)

Function Documentation

MRPT_FILL_ENUM() [1/4]

MRPT_FILL_ENUM

(

kfEKFNaive

)

MRPT_FILL_ENUM() [2/4]

MRPT_FILL_ENUM

(

kfEKFAlaDavison

)

MRPT_FILL_ENUM() [3/4]

MRPT_FILL_ENUM

(

kfIKFFull

)

MRPT_FILL_ENUM() [4/4]

MRPT_FILL_ENUM

(

kfIKF

)