CGridMapAligner.h

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/* +---------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)               |
   |                          http://www.mrpt.org/                             |
   |                                                                           |
   | Copyright (c) 2005-2017, Individual contributors, see AUTHORS file        |
   | See: http://www.mrpt.org/Authors - All rights reserved.                   |
   | Released under BSD License. See details in http://www.mrpt.org/License    |
   +---------------------------------------------------------------------------+ */
#ifndef CGridMapAligner_H
#define CGridMapAligner_H
 
#include <mrpt/slam/CMetricMapsAlignmentAlgorithm.h>
#include <mrpt/maps/CLandmarksMap.h>
#include <mrpt/utils/CLoadableOptions.h>
#include <mrpt/utils/TEnumType.h>
#include <mrpt/utils/poly_ptr_ptr.h>
#include <mrpt/poses/CPosePDFSOG.h>
#include <mrpt/poses/poses_frwds.h>
#include <mrpt/vision/CFeatureExtraction.h>
#include <mrpt/slam/COccupancyGridMapFeatureExtractor.h>
 
namespace mrpt
{
        namespace slam
        {
                /** A class for aligning two multi-metric maps (with an occupancy grid maps and a points map, at least) based on features extraction and matching.
                 * The matching pose is returned as a Sum of Gaussians (poses::CPosePDFSOG).
                 *
                 *  This class can use three methods (see options.methodSelection):
                 *   - amCorrelation: "Brute-force" correlation of the two maps over a 2D+orientation grid of possible 2D poses.
                 *   - amRobustMatch: Detection of features + RANSAC matching
                 *   - amModifiedRANSAC: Detection of features + modified multi-hypothesis RANSAC matching as described in was reported in the paper http://www.mrpt.org/Paper%3AOccupancy_Grid_Matching
                 *
                 * See CGridMapAligner::Align for more instructions.
                 *
                 * \sa CMetricMapsAlignmentAlgorithm
                 * \ingroup mrpt_slam_grp
                 */
                class SLAM_IMPEXP  CGridMapAligner : public mrpt::slam::CMetricMapsAlignmentAlgorithm
                {
                private:
                        /** Private member, implements one the algorithms.
                          */
                        mrpt::poses::CPosePDFPtr AlignPDF_correlation(
                                        const mrpt::maps::CMetricMap            *m1,
                                        const mrpt::maps::CMetricMap            *m2,
                                        const mrpt::poses::CPosePDFGaussian     &initialEstimationPDF,
                                        float                                   *runningTime = NULL,
                                        void                                    *info = NULL );
 
                        /** Private member, implements both, the "robustMatch" and the newer "modifiedRANSAC" algorithms.
                          */
                        mrpt::poses::CPosePDFPtr AlignPDF_robustMatch(
                                        const mrpt::maps::CMetricMap            *m1,
                                        const mrpt::maps::CMetricMap            *m2,
                                        const mrpt::poses::CPosePDFGaussian     &initialEstimationPDF,
                                        float                                   *runningTime = NULL,
                                        void                                    *info = NULL );
 
                        COccupancyGridMapFeatureExtractor       m_grid_feat_extr; //!< Grid map features extractor
                public:
 
                        CGridMapAligner() :
                                options()
                        {}
 
                        /** The type for selecting the grid-map alignment algorithm.
                          */
                        enum TAlignerMethod
                        {
                                amRobustMatch = 0,
                                amCorrelation,
                                amModifiedRANSAC
                        };
 
                        /** The ICP algorithm configuration data
                         */
                        class SLAM_IMPEXP TConfigParams : public utils::CLoadableOptions
                        {
                        public:
                                /** Initializer for default values:
                                  */
                                TConfigParams();
 
                                void loadFromConfigFile(const mrpt::utils::CConfigFileBase &source,const std::string &section) MRPT_OVERRIDE; // See base docs
                                void dumpToTextStream(mrpt::utils::CStream &out) const MRPT_OVERRIDE; // See base docs
 
                                TAlignerMethod          methodSelection;                //!< The aligner method:
 
                                /** The feature descriptor to use: 0=detector already has descriptor, 1= SIFT, 2=SURF, 4=Spin images, 8=Polar images, 16=log-polar images */
                                mrpt::vision::TDescriptorType   feature_descriptor;
 
                                /** All the parameters for the feature detector. */
                                mrpt::vision::CFeatureExtraction::TOptions      feature_detector_options;
 
                                /** RANSAC-step options:
                                  * \sa CICP::robustRigidTransformation
                                  */
                                float   ransac_minSetSizeRatio;  //!< The ratio of landmarks that must be inliers to accepto an hypotheses (typ: 0.20)
                                float   ransac_SOG_sigma_m;     //!< The square root of the uncertainty normalization variance var_m (see papers...)
 
                                /** [amRobustMatch method only] RANSAC-step options:
                                  * \sa CICP::robustRigidTransformation
                                  */
                                float   ransac_mahalanobisDistanceThreshold;
 
                                double  ransac_chi2_quantile;   //!< [amModifiedRANSAC method only] The quantile used for chi-square thresholding (default=0.99)
 
                                double  ransac_prob_good_inliers; //!< Probability of having a good inliers (def:0,9999), used for automatic number of iterations
                                float   featsPerSquareMeter;    //!< Features extraction from grid map: How many features to extract
                                float   threshold_max;          //!< Correspondences are considered if their distances are below this threshold (in the range [0,1]) (default=0.15).
                                float   threshold_delta;        //!< Correspondences are considered if their distances to the best match are below this threshold (in the range [0,1]) (default=0.15).
 
                                float   min_ICP_goodness;       //!< The minimum goodness (0-1) of the post-matching ICP to accept a hypothesis as good (default=0.30)
                                double  max_ICP_mahadist;       //!< The maximum Mahalanobis distance between the initial and final poses in the ICP not to discard the hypothesis (default=10)
                                double  maxKLd_for_merge;       //!< Maximum KL-divergence for merging modes of the SOG (default=0.9)
 
                                bool    save_feat_coors;        //!< DEBUG - Dump all feature correspondences in a directory "grid_feats"
                                bool    debug_show_corrs;       //!< DEBUG - Show graphs with the details of each feature correspondences
                                bool    debug_save_map_pairs;   //!< DEBUG - Save the pair of maps with all the pairings.
 
                        } options;
 
                        /** The ICP algorithm return information.
                         */
                        struct SLAM_IMPEXP TReturnInfo
                        {
                                TReturnInfo() :
                                        goodness(0),
                                        noRobustEstimation()
                                {
                                }
 
                                /** A goodness measure for the alignment, it is a [0,1] range indicator of percentage of correspondences.
                                 */
                                float                   goodness;
 
                                /** The "brute" estimation from using all the available correspondences, provided just for comparison purposes (it is not the robust estimation, available as the result of the Align method).
                                  */
                                mrpt::poses::CPose2D                    noRobustEstimation;
 
                                /** The different SOG densities at different steps of the algorithm:
                                  *   - sog1 : Directly from the matching of features
                                  *   - sog2 : Merged of sog1
                                  *   - sog3 : sog2 refined with ICP
                                  *
                                  *   - The final sog is the merge of sog3.
                                  *
                                  */
                                mrpt::utils::poly_ptr_ptr<mrpt::poses::CPosePDFSOGPtr> sog1,sog2,sog3;
 
                                /** The landmarks of each map (the indices of these landmarks correspond to those in "correspondences")  */
                                mrpt::maps::CLandmarksMapPtr    landmarks_map1, landmarks_map2;
 
                                /** All the found correspondences (not consistent) */
                                mrpt::utils::TMatchingPairList  correspondences;
 
                                struct TPairPlusDistance
                                {
                                        TPairPlusDistance(size_t i1, size_t i2, float d) :
                                                idx_this(i1), idx_other(i2), dist(d)
                                        { }
                                        size_t          idx_this,idx_other;
                                        float           dist;
                                };
 
                                std::vector<TPairPlusDistance>  correspondences_dists_maha;     //!< Mahalanobis distance for each potential correspondence
 
                                std::vector<double>     icp_goodness_all_sog_modes;     //!< The ICP goodness of all potential SOG modes at the stage "sog2", thus before the removing of "bad" ICP matches.
                        };
 
                        /** The method for aligning a pair of 2D points map.
                         *   The meaning of some parameters are implementation dependant,
                         *    so look for derived classes for instructions.
                         *  The target is to find a PDF for the pose displacement between
                         *   maps, thus <b>the pose of m2 relative to m1</b>. This pose
                         *   is returned as a PDF rather than a single value.
                         *
                         *  NOTE: This method can be configurated with "options"
                         *
                         * \param m1                    [IN] The first map (Must be a mrpt::maps::CMultiMetricMap class)
                         * \param m2                    [IN] The second map (Must be a mrpt::maps::CMultiMetricMap class)
                         * \param initialEstimationPDF  [IN] (IGNORED IN THIS ALGORITHM!)
                         * \param runningTime   [OUT] A pointer to a container for obtaining the algorithm running time in seconds, or NULL if you don't need it.
                         * \param info                  [OUT] A pointer to a TReturnInfo struct, or NULL if result information are not required.
                         *
                         * \note The returned PDF depends on the selected alignment method:
                         *              - "amRobustMatch" --> A "poses::CPosePDFSOG" object.
                         *              - "amCorrelation" --> A "poses::CPosePDFGrid" object.
                         *
                         * \return A smart pointer to the output estimated pose PDF.
                         * \sa CPointsMapAlignmentAlgorithm, options
                         */
                        mrpt::poses::CPosePDFPtr AlignPDF(
                                        const mrpt::maps::CMetricMap            *m1,
                                        const mrpt::maps::CMetricMap            *m2,
                                        const mrpt::poses::CPosePDFGaussian     &initialEstimationPDF,
                                        float                                   *runningTime = NULL,
 
                                        void                                    *info = NULL );
 
 
                        /** Not applicable in this class, will launch an exception. */
                        mrpt::poses::CPose3DPDFPtr Align3DPDF(
                                        const mrpt::maps::CMetricMap            *m1,
                                        const mrpt::maps::CMetricMap            *m2,
                                        const mrpt::poses::CPose3DPDFGaussian   &initialEstimationPDF,
                                        float                                   *runningTime = NULL,
                                        void                                    *info = NULL );
                        
                };
 
        } // End of namespace
 
        // Specializations MUST occur at the same namespace:
        namespace utils
        {
                template <>
                struct TEnumTypeFiller<slam::CGridMapAligner::TAlignerMethod>
                {
                        typedef slam::CGridMapAligner::TAlignerMethod enum_t;
                        static void fill(bimap<enum_t,std::string>  &m_map)
                        {
                                m_map.insert(slam::CGridMapAligner::amRobustMatch,    "amRobustMatch");
                                m_map.insert(slam::CGridMapAligner::amCorrelation,    "amCorrelation");
                                m_map.insert(slam::CGridMapAligner::amModifiedRANSAC, "amModifiedRANSAC");
                        }
                };
        } // End of namespace
 
} // End of namespace
 
#endif