CMonteCarloLocalization3D.cpp

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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 |
   +------------------------------------------------------------------------+ */
 
#include "slam-precomp.h"  // Precompiled headerss
 
#include <mrpt/slam/CMonteCarloLocalization3D.h>
#include <mrpt/obs/CSensoryFrame.h>
 
#include <mrpt/math/utils.h>
#include <mrpt/utils/round.h>
#include <mrpt/slam/PF_aux_structs.h>
 
using namespace std;
using namespace mrpt;
using namespace mrpt::bayes;
using namespace mrpt::poses;
using namespace mrpt::math;
using namespace mrpt::utils;
using namespace mrpt::obs;
using namespace mrpt::maps;
 
#include <mrpt/slam/PF_implementations_data.h>
#include <mrpt/slam/PF_implementations.h>
 
#include <mrpt/bayes/CParticleFilter_impl.h>
 
namespace mrpt
{
namespace slam
{
/** Fills out a "TPoseBin3D" variable, given a path hypotesis and (if not set to
 * nullptr) a new pose appended at the end, using the KLD params in "options".
 */
template <>
void KLF_loadBinFromParticle(
        mrpt::slam::detail::TPoseBin3D& outBin, const TKLDParams& opts,
        const CMonteCarloLocalization3D::CParticleDataContent* currentParticleValue,
        const TPose3D* newPoseToBeInserted)
{
        // 3D pose approx: Use the latest pose only:
        if (newPoseToBeInserted)
        {
                outBin.x = round(newPoseToBeInserted->x / opts.KLD_binSize_XY);
                outBin.y = round(newPoseToBeInserted->y / opts.KLD_binSize_XY);
                outBin.z = round(newPoseToBeInserted->z / opts.KLD_binSize_XY);
 
                outBin.yaw = round(newPoseToBeInserted->yaw / opts.KLD_binSize_PHI);
                outBin.pitch = round(newPoseToBeInserted->pitch / opts.KLD_binSize_PHI);
                outBin.roll = round(newPoseToBeInserted->roll / opts.KLD_binSize_PHI);
        }
        else
        {
                ASSERT_(currentParticleValue)
                outBin.x = round(currentParticleValue->x() / opts.KLD_binSize_XY);
                outBin.y = round(currentParticleValue->y() / opts.KLD_binSize_XY);
                outBin.z = round(currentParticleValue->z() / opts.KLD_binSize_XY);
 
                outBin.yaw = round(currentParticleValue->yaw() / opts.KLD_binSize_PHI);
                outBin.pitch =
                        round(currentParticleValue->pitch() / opts.KLD_binSize_PHI);
                outBin.roll =
                        round(currentParticleValue->roll() / opts.KLD_binSize_PHI);
        }
}
 
/*---------------------------------------------------------------
                                ctor
 ---------------------------------------------------------------*/
// Passing a "this" pointer at this moment is not a problem since it will be NOT
// access until the object is fully initialized
CMonteCarloLocalization3D::CMonteCarloLocalization3D(size_t M)
        : m_poseParticles(M)
{
        this->setLoggerName("CMonteCarloLocalization3D");
}
 
/*---------------------------------------------------------------
                                Dtor
 ---------------------------------------------------------------*/
CMonteCarloLocalization3D::~CMonteCarloLocalization3D() {}
TPose3D CMonteCarloLocalization3D::getLastPose(
        const size_t i, bool& is_valid_pose) const
{
        if (i >= m_poseParticles.m_particles.size())
                THROW_EXCEPTION("Particle index out of bounds!");
        is_valid_pose = true;
        ASSERTDEB_(m_poseParticles.m_particles[i].d != NULL);
        return TPose3D(*m_poseParticles.m_particles[i].d);
}
 
/*---------------------------------------------------------------
 
                        prediction_and_update
 
 ---------------------------------------------------------------*/
template <typename T>
void CMonteCarloLocalization3D::prediction_and_update(
        const mrpt::obs::CActionCollection* actions,
        const mrpt::obs::CSensoryFrame* sf,
        const bayes::CParticleFilter::TParticleFilterOptions& PF_options)
{
        MRPT_START
 
        if (sf)
        {  // A map MUST be supplied!
                ASSERT_(options.metricMap || options.metricMaps.size() > 0)
                if (!options.metricMap)
                        ASSERT_(
                                options.metricMaps.size() == m_poseParticles.m_particles.size())
        }
 
        T::template PF_SLAM_implementation<
                mrpt::poses::CPose3D, CMonteCarloLocalization3D,
                mrpt::slam::detail::TPoseBin3D>(
                actions, sf, PF_options, options.KLD_params, *this);
 
        MRPT_END
}
 
/*---------------------------------------------------------------
                        PF_SLAM_computeObservationLikelihoodForParticle
 ---------------------------------------------------------------*/
double
        CMonteCarloLocalization3D::PF_SLAM_computeObservationLikelihoodForParticle(
                const CParticleFilter::TParticleFilterOptions& PF_options,
                const size_t particleIndexForMap, const CSensoryFrame& observation,
                const CPose3D& x) const
{
        MRPT_UNUSED_PARAM(PF_options);
        ASSERT_(
                options.metricMap || particleIndexForMap < options.metricMaps.size())
 
        CMetricMap* map =
                (options.metricMap) ? options.metricMap :  // All particles, one map
                        options.metricMaps[particleIndexForMap];  // One map per particle
 
        // For each observation:
        double ret = 1;
        for (CSensoryFrame::const_iterator it = observation.begin();
                 it != observation.end(); ++it)
                ret += map->computeObservationLikelihood(
                        it->get(), x);  // Compute the likelihood:
 
        // Done!
        return ret;
}
 
// Specialization for my kind of particles:
void CMonteCarloLocalization3D::
	PF_SLAM_implementation_custom_update_particle_with_new_pose(
                CPose3D* particleData, const TPose3D& newPose) const
{
        *particleData = CPose3D(newPose);
}
 
void CMonteCarloLocalization3D::PF_SLAM_implementation_replaceByNewParticleSet(
        CParticleList& old_particles, const vector<TPose3D>& newParticles,
        const vector<double>& newParticlesWeight,
        const vector<size_t>& newParticlesDerivedFromIdx) const
{
        MRPT_UNUSED_PARAM(newParticlesDerivedFromIdx);
        ASSERT_(size_t(newParticlesWeight.size()) == newParticles.size())
 
        // ---------------------------------------------------------------------------------
        // Substitute old by new particle set:
        //   Old are in "m_particles"
        //   New are in "newParticles",
        //   "newParticlesWeight","newParticlesDerivedFromIdx"
        // ---------------------------------------------------------------------------------
        // Free old m_particles (automatically done via smart ptr)
 
        // Copy into "m_particles"
        const size_t N = newParticles.size();
        old_particles.resize(N);
        for (size_t i = 0; i < N; i++)
        {
                old_particles[i].log_w = newParticlesWeight[i];
                old_particles[i].d.reset(new CPose3D(newParticles[i]));
        }
}
 
void CMonteCarloLocalization3D::executeOn(
        mrpt::bayes::CParticleFilter& pf, const mrpt::obs::CActionCollection* action,
        const mrpt::obs::CSensoryFrame* observation,
        mrpt::bayes::CParticleFilter::TParticleFilterStats* stats,
        mrpt::bayes::CParticleFilter::TParticleFilterAlgorithm PF_algorithm)
{
        switch (PF_algorithm)
        {
                case CParticleFilter::pfStandardProposal:
                        pf.executeOn<CMonteCarloLocalization3D, mrpt::slam::StandardProposal>(
                                *this, action, observation, stats);
                        break;
                case CParticleFilter::pfAuxiliaryPFStandard:
                        pf.executeOn<CMonteCarloLocalization3D, mrpt::slam::AuxiliaryPFStandard>(
                                *this, action, observation, stats);
                        break;
                case CParticleFilter::pfAuxiliaryPFOptimal:
                        pf.executeOn<CMonteCarloLocalization3D, mrpt::slam::AuxiliaryPFOptimal>(
                                *this, action, observation, stats);
                        break;
                default:
                {
                        THROW_EXCEPTION("Invalid particle filter algorithm selection!");
                }
                break;
        }
 
}
 
}
}