#include "slam-precomp.h"
#include <mrpt/slam/data_association.h>
#include <mrpt/math/distributions.h>
#include <mrpt/math/data_utils.h>
#include <mrpt/poses/CPointPDFGaussian.h>
#include <mrpt/poses/CPoint2DPDFGaussian.h>
#include <set>
#include <numeric>
#include <memory>
#include <nanoflann.hpp>
#include <mrpt/math/KDTreeCapable.h>

Include dependency graph for data_association.cpp:

Classes
struct	mrpt::slam::TAuxDataRecursiveJCBB

Namespaces
	mrpt::slam

Functions
template<typename T , TDataAssociationMetric METRIC>
double	mrpt::slam::joint_pdf_metric (const CMatrixTemplateNumeric< T > &Z_observations_mean, const CMatrixTemplateNumeric< T > &Y_predictions_mean, const CMatrixTemplateNumeric< T > &Y_predictions_cov, const TAuxDataRecursiveJCBB &info, const TDataAssociationResults &aux_data)
	Computes the joint distance metric (mahalanobis or matching likelihood) between two a set of associations. More...

template<TDataAssociationMetric METRIC>
bool	mrpt::slam::isCloser (const double v1, const double v2)

template<>
bool	mrpt::slam::isCloser< metricMaha > (const double v1, const double v2)

template<>
bool	mrpt::slam::isCloser< metricML > (const double v1, const double v2)

template<typename T , TDataAssociationMetric METRIC>
void	mrpt::slam::JCBB_recursive (const mrpt::math::CMatrixTemplateNumeric< T > &Z_observations_mean, const mrpt::math::CMatrixTemplateNumeric< T > &Y_predictions_mean, const mrpt::math::CMatrixTemplateNumeric< T > &Y_predictions_cov, TDataAssociationResults &results, const TAuxDataRecursiveJCBB &info, const observation_index_t curObsIdx)

Classes

Namespaces

Functions