CKalmanFilterCapable.h File Reference

#include <mrpt/math/CMatrixFixedNumeric.h>
#include <mrpt/math/CMatrixTemplateNumeric.h>
#include <mrpt/math/CVectorTemplate.h>
#include <mrpt/math/CArray.h>
#include <mrpt/math/utils.h>
#include <mrpt/utils/CTimeLogger.h>
#include <mrpt/utils/CLoadableOptions.h>
#include <mrpt/utils/CDebugOutputCapable.h>
#include <mrpt/utils/stl_extensions.h>
#include <mrpt/system/os.h>
#include <mrpt/utils/CTicTac.h>
#include <mrpt/utils/CFileOutputStream.h>

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Classes
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
namespace	mrpt
	This is the global namespace for all Mobile Robot Porgramming Toolkit (MRPT) libraries.
namespace	mrpt::bayes
	The namespace for Bayesian filtering algorithm: different particle filters and Kalman filter algorithms.
namespace	mrpt::bayes::detail
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://babel.isa.uma.es/mrpt/index.php/Kalman_Filters. More...
enum	mrpt::bayes::TKFFusionMethod { mrpt::bayes::kfFusAll = 0, mrpt::bayes::kfFusSeqMaha, mrpt::bayes::kfFusSeqML }
	Strategies to fuse the observations at a given timestep in a Kalman Filter. More...
Functions
template<size_t VEH_SIZE, size_t OBS_SIZE, size_t FEAT_SIZE, size_t ACT_SIZE, typename KFTYPE >
void	mrpt::bayes::detail::runOneKalmanIteration_addNewLandmarks (CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE > &obj, std::vector< typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, FEAT_SIZE, ACT_SIZE, KFTYPE >::KFArray_OBS > Z, const 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::runOneKalmanIteration_addNewLandmarks (CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE > &obj, std::vector< typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE >::KFArray_OBS > Z, const vector_int &data_association, const typename CKalmanFilterCapable< VEH_SIZE, OBS_SIZE, 0, ACT_SIZE, KFTYPE >::KFMatrix_OxO &R)