PF_implementations_data.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 PF_implementations_data_H
#define PF_implementations_data_H
 
#include <mrpt/obs/CActionRobotMovement2D.h>
#include <mrpt/bayes/CParticleFilterCapable.h>
#include <mrpt/bayes/CParticleFilterData.h>
#include <mrpt/math/lightweight_geom_data.h>
#include <mrpt/poses/CPose3D.h>
#include <mrpt/poses/CPose3DPDFGaussian.h>
#include <mrpt/poses/CPoseRandomSampler.h>
#include <mrpt/slam/TKLDParams.h>
#include <mrpt/utils/COutputLogger.h>
 
namespace mrpt
{
namespace slam
{
// Frwd decl:
template <class PARTICLETYPE, class BINTYPE>
void KLF_loadBinFromParticle(
        BINTYPE& outBin, const TKLDParams& opts,
        const PARTICLETYPE* currentParticleValue = nullptr,
        const mrpt::math::TPose3D* newPoseToBeInserted = nullptr);
 
/** A set of common data shared by PF implementations for both SLAM and
 * localization
 *   \ingroup mrpt_slam_grp
 */
template <
        class PARTICLE_TYPE, class PDF_TYPE,
        class CParticleList = typename PDF_TYPE::CParticleList>
class PF_implementation : public mrpt::utils::COutputLogger
{
   public:
        PF_implementation() : mrpt::utils::COutputLogger("PF_implementation") {}
 
        /** \name Data members and methods used by generic PF implementations
                @{ */
 
        mrpt::obs::CActionRobotMovement2D m_accumRobotMovement2D;
        bool m_accumRobotMovement2DIsValid = false;
        mrpt::poses::CPose3DPDFGaussian m_accumRobotMovement3D;
        bool m_accumRobotMovement3DIsValid = false;
 
        /** Used in al PF implementations. \sa
         * PF_SLAM_implementation_gatherActionsCheckBothActObs */
        mrpt::poses::CPoseRandomSampler m_movementDrawer;
        /** Auxiliary variable used in the "pfAuxiliaryPFOptimal" algorithm. */
        mutable mrpt::math::CVectorDouble m_pfAuxiliaryPFOptimal_estimatedProb;
        /** Auxiliary variable used in the "pfAuxiliaryPFStandard" algorithm. */
        mutable mrpt::math::CVectorDouble m_pfAuxiliaryPFStandard_estimatedProb;
        /** Auxiliary variable used in the "pfAuxiliaryPFOptimal" algorithm. */
        mutable mrpt::math::CVectorDouble m_pfAuxiliaryPFOptimal_maxLikelihood;
        /** Auxiliary variable used in the "pfAuxiliaryPFOptimal" algorithm. */
        mutable std::vector<mrpt::math::TPose3D>
                m_pfAuxiliaryPFOptimal_maxLikDrawnMovement;
        std::vector<bool> m_pfAuxiliaryPFOptimal_maxLikMovementDrawHasBeenUsed;
 
        /**  Compute w[i]*p(z_t | mu_t^i), with mu_t^i being
         *    the mean of the new robot pose
         *
         * \param action MUST be a "const CPose3D*"
         * \param observation MUST be a "const CSensoryFrame*"
         */
        template <class BINTYPE>  // Template arg. actually not used, just to allow
        // giving the definition in another file later on
        static double PF_SLAM_particlesEvaluator_AuxPFStandard(
                const mrpt::bayes::CParticleFilter::TParticleFilterOptions& PF_options,
                const mrpt::bayes::CParticleFilterCapable* obj, size_t index,
                const void* action, const void* observation);
 
        /** @} */
 
   public:
        /** \name Virtual methods that the PF_implementations assume exist.
                @{ */
 
        /** Return the last robot pose in the i'th particle; is_valid_pose will be
         * false if there is no such last pose.
         * \exception std::exception on out-of-range particle index */
        virtual mrpt::math::TPose3D getLastPose(
                const size_t i, bool& is_valid_pose) const = 0;
 
        virtual void PF_SLAM_implementation_custom_update_particle_with_new_pose(
                PARTICLE_TYPE* particleData,
                const mrpt::math::TPose3D& newPose) const = 0;
 
        /** This is the default algorithm to efficiently replace one old set of
         * samples by another new set.
         *  The method uses pointers to make fast copies the first time each
         * particle is duplicated, then
         *   makes real copies for the next ones.
         *
         *  Note that more efficient specializations might exist for specific
         * particle data structs.
         */
        virtual void PF_SLAM_implementation_replaceByNewParticleSet(
                CParticleList& old_particles,
                const std::vector<mrpt::math::TPose3D>& newParticles,
                const std::vector<double>& newParticlesWeight,
                const std::vector<size_t>& newParticlesDerivedFromIdx) const
        {
                // ---------------------------------------------------------------------------------
                // Substitute old by new particle set:
                //   Old are in "m_particles"
                //   New are in "newParticles",
                //   "newParticlesWeight","newParticlesDerivedFromIdx"
                // ---------------------------------------------------------------------------------
                const size_t N = newParticles.size(), N_old = old_particles.size();
                CParticleList newParticlesArray(N);
 
                // For efficiency, just copy the "CParticleData" from the old particle
                // into the
                //  new one, but this can be done only once:
                std::vector<bool> oldParticleAlreadyCopied(N_old, false);
                std::vector<PARTICLE_TYPE*> oldParticleFirstCopies(N_old, nullptr);
 
                size_t i;
                typename CParticleList::iterator newPartIt;
                for (newPartIt = newParticlesArray.begin(), i = 0;
                         newPartIt != newParticlesArray.end(); ++newPartIt, ++i)
                {
                        // The weight:
                        newPartIt->log_w = newParticlesWeight[i];
 
                        // The data (CParticleData):
                        PARTICLE_TYPE* newPartData;
                        const size_t i_in_old = newParticlesDerivedFromIdx[i];
                        if (!oldParticleAlreadyCopied[i_in_old])
                        {
                                // The first copy of this old particle:
                                newPartData = old_particles[i_in_old].d.release();
                                oldParticleAlreadyCopied[i_in_old] = true;
                                oldParticleFirstCopies[i_in_old] = newPartData;
                        }
                        else
                        {
                                // Make a copy:
                                ASSERT_(oldParticleFirstCopies[i_in_old]);
                                newPartData =
                                        new PARTICLE_TYPE(*oldParticleFirstCopies[i_in_old]);
                        }
 
                        newPartIt->d.reset(newPartData);
                }  // end for "newPartIt"
 
                // Now add the new robot pose to the paths:
                //  (this MUST be done after the above loop, separately):
                // Update the particle with the new pose: this part is caller-dependant
                // and must be implemented there:
                for (newPartIt = newParticlesArray.begin(), i = 0; i < N;
                         ++newPartIt, ++i)
                        PF_SLAM_implementation_custom_update_particle_with_new_pose(
                                newPartIt->d.get(), newParticles[i]);
 
                // Free those old m_particles not being copied into the new ones: not
                // needed since use of smart ptr.
 
                // Copy into "m_particles"
                old_particles.resize(newParticlesArray.size());
                typename CParticleList::iterator trgPartIt;
                for (newPartIt = newParticlesArray.begin(),
                        trgPartIt = old_particles.begin();
                         newPartIt != newParticlesArray.end(); ++newPartIt, ++trgPartIt)
                {
                        trgPartIt->log_w = newPartIt->log_w;
                        trgPartIt->d.move_from(newPartIt->d);
                }
        }  // end of PF_SLAM_implementation_replaceByNewParticleSet
 
        virtual bool PF_SLAM_implementation_doWeHaveValidObservations(
                const typename mrpt::bayes::CParticleFilterData<
                        PARTICLE_TYPE>::CParticleList& particles,
                const mrpt::obs::CSensoryFrame* sf) const
        {
                MRPT_UNUSED_PARAM(particles);
                MRPT_UNUSED_PARAM(sf);
                return true;  // By default, always process the SFs.
        }
 
        /** Make a specialization if needed, eg. in the first step in SLAM.  */
        virtual bool PF_SLAM_implementation_skipRobotMovement() const
        {
                return false;  // By default, always allow the robot to move!
        }
 
        /** Evaluate the observation likelihood for one particle at a given location
         */
        virtual double PF_SLAM_computeObservationLikelihoodForParticle(
                const mrpt::bayes::CParticleFilter::TParticleFilterOptions& PF_options,
                const size_t particleIndexForMap,
                const mrpt::obs::CSensoryFrame& observation,
                const mrpt::poses::CPose3D& x) const = 0;
 
        /** @} */
};  // end PF_implementation
 
}  // namespace slam
}  // namespace mrpt
#endif