CMonteCarloLocalization2D_unittest.cpp

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          https://www.mrpt.org/                         |
   |                                                                        |
   | Copyright (c) 2005-2019, Individual contributors, see AUTHORS file     |
   | See: https://www.mrpt.org/Authors - All rights reserved.               |
   | Released under BSD License. See: https://www.mrpt.org/License          |
   +------------------------------------------------------------------------+ */

#include <gtest/gtest.h>
#include <mrpt/config/CConfigFile.h>
#include <mrpt/io/CFileGZInputStream.h>
#include <mrpt/maps/CMultiMetricMap.h>
#include <mrpt/maps/COccupancyGridMap2D.h>
#include <mrpt/maps/CSimpleMap.h>
#include <mrpt/obs/CRawlog.h>
#include <mrpt/random.h>
#include <mrpt/serialization/CArchive.h>
#include <mrpt/slam/CMonteCarloLocalization2D.h>
#include <mrpt/system/filesystem.h>
#include <mrpt/system/os.h>
#include <test_mrpt_common.h>

using namespace mrpt;
using namespace mrpt::bayes;
using namespace mrpt::slam;
using namespace mrpt::maps;
using namespace mrpt::io;
using namespace mrpt::poses;
using namespace mrpt::config;
using namespace mrpt::math;
using namespace mrpt::random;
using namespace mrpt::system;
using namespace mrpt::obs;
using namespace std;

void run_test_pf_localization(CPose2D& meanPose, CMatrixDouble33& cov)
{
    // ------------------------------------------------------
    // The code below is a simplification of the program "pf-localization"
    // ------------------------------------------------------
    const string ini_fil =
        UNITTEST_BASEDIR + string("/tests/montecarlo_test1.ini");
    if (!mrpt::system::fileExists(ini_fil))
    {
        cerr << "WARNING: Skipping test due to missing file: " << ini_fil
             << "\n";
        return;
    }

    CConfigFile iniFile(ini_fil);
    std::vector<int>
        particles_count;  // Number of initial particles (if size>1, run
    // the experiments N times)

    // Load configuration:
    // -----------------------------------------
    string iniSectionName("LocalizationExperiment");

    // Mandatory entries:
    iniFile.read_vector(
        iniSectionName, "particles_count", std::vector<int>(1, 0),
        particles_count,
        /*Fail if not found*/ true);
    string RAWLOG_FILE = iniFile.read_string(
        iniSectionName, "rawlog_file", "", /*Fail if not found*/ true);

    RAWLOG_FILE = UNITTEST_BASEDIR + string("/") + RAWLOG_FILE;

    // Non-mandatory entries:
    string MAP_FILE = iniFile.read_string(iniSectionName, "map_file", "");

    MAP_FILE = UNITTEST_BASEDIR + string("/") + MAP_FILE;

    size_t rawlog_offset = iniFile.read_int(iniSectionName, "rawlog_offset", 0);
    int NUM_REPS = iniFile.read_int(iniSectionName, "experimentRepetitions", 1);

    // PF-algorithm Options:
    // ---------------------------
    CParticleFilter::TParticleFilterOptions pfOptions;
    pfOptions.loadFromConfigFile(iniFile, "PF_options");

    // PDF Options:
    // ------------------
    TMonteCarloLocalizationParams pdfPredictionOptions;
    pdfPredictionOptions.KLD_params.loadFromConfigFile(iniFile, "KLD_options");

    // Metric map options:
    // -----------------------------
    TSetOfMetricMapInitializers mapList;
    mapList.loadFromConfigFile(iniFile, "MetricMap");

    // --------------------------------------------------------------------
    //                      EXPERIMENT PREPARATION
    // --------------------------------------------------------------------
    CTicTac tictac, tictacGlobal;
    CSimpleMap simpleMap;
    CRawlog rawlog;
    size_t rawlogEntry, rawlogEntries;
    CParticleFilter::TParticleFilterStats PF_stats;

    // Load the set of metric maps to consider in the experiments:
    CMultiMetricMap metricMap;
    metricMap.setListOfMaps(mapList);

    getRandomGenerator().randomize();

    // Load the map (if any):
    // -------------------------
    if (MAP_FILE.size())
    {
        ASSERT_(fileExists(MAP_FILE));

        // Detect file extension:
        // -----------------------------
        string mapExt = lowerCase(extractFileExtension(
            MAP_FILE, true));  // Ignore possible .gz extensions

        if (!mapExt.compare("simplemap"))
        {
            // It's a ".simplemap":
            // -------------------------
            CFileGZInputStream f(MAP_FILE);
            mrpt::serialization::archiveFrom(f) >> simpleMap;
            ASSERT_(simpleMap.size() > 0);
            // Build metric map:
            metricMap.loadFromProbabilisticPosesAndObservations(simpleMap);
        }
        else
        {
            THROW_EXCEPTION_FMT(
                "Map file has unknown extension: '%s'", mapExt.c_str());
        }
    }

    // --------------------------
    // Load the rawlog:
    // --------------------------
    rawlog.loadFromRawLogFile(RAWLOG_FILE);
    rawlogEntries = rawlog.size();

    for (int PARTICLE_COUNT : particles_count)
    {
        // Global stats for all the experiment loops:
        vector<double> covergenceErrors;
        covergenceErrors.reserve(NUM_REPS);
        // --------------------------------------------------------------------
        //                  EXPERIMENT REPETITIONS LOOP
        // --------------------------------------------------------------------
        tictacGlobal.Tic();
        for (int repetition = 0; repetition < NUM_REPS; repetition++)
        {
            int M = PARTICLE_COUNT;
            CMonteCarloLocalization2D pdf(M);

            // PDF Options:
            pdf.options = pdfPredictionOptions;

            pdf.options.metricMap = &metricMap;

            // Create the PF object:
            CParticleFilter PF;
            PF.m_options = pfOptions;

            size_t step = 0;
            rawlogEntry = 0;

            // Initialize the PDF:
            // -----------------------------
            tictac.Tic();
            if (!iniFile.read_bool(
                    iniSectionName, "init_PDF_mode", false,
                    /*Fail if not found*/ true))
            {
                auto grid = metricMap.mapByClass<COccupancyGridMap2D>();
                pdf.resetUniformFreeSpace(
                    grid.get(), 0.7f, PARTICLE_COUNT,
                    iniFile.read_float(
                        iniSectionName, "init_PDF_min_x", 0, true),
                    iniFile.read_float(
                        iniSectionName, "init_PDF_max_x", 0, true),
                    iniFile.read_float(
                        iniSectionName, "init_PDF_min_y", 0, true),
                    iniFile.read_float(
                        iniSectionName, "init_PDF_max_y", 0, true),
                    DEG2RAD(iniFile.read_float(
                        iniSectionName, "init_PDF_min_phi_deg", -180)),
                    DEG2RAD(iniFile.read_float(
                        iniSectionName, "init_PDF_max_phi_deg", 180)));
            }
            else
                pdf.resetUniform(
                    iniFile.read_float(
                        iniSectionName, "init_PDF_min_x", 0, true),
                    iniFile.read_float(
                        iniSectionName, "init_PDF_max_x", 0, true),
                    iniFile.read_float(
                        iniSectionName, "init_PDF_min_y", 0, true),
                    iniFile.read_float(
                        iniSectionName, "init_PDF_max_y", 0, true),
                    DEG2RAD(iniFile.read_float(
                        iniSectionName, "init_PDF_min_phi_deg", -180)),
                    DEG2RAD(iniFile.read_float(
                        iniSectionName, "init_PDF_max_phi_deg", 180)),
                    PARTICLE_COUNT);

            // -----------------------------
            //      Particle filter
            // -----------------------------
            CActionCollection::Ptr action;
            CSensoryFrame::Ptr observations;
            bool end = false;

            // TTimeStamp cur_obs_timestamp;

            while (rawlogEntry < (rawlogEntries - 1) && !end)
            {
                // Load pose change from the rawlog:
                // ----------------------------------------
                if (!rawlog.getActionObservationPair(
                        action, observations, rawlogEntry))
                    THROW_EXCEPTION("End of rawlog");

                CPose2D expectedPose;  // Ground truth

                //              if (observations->size()>0)
                //                  cur_obs_timestamp =
                // observations->getObservationByIndex(0)->timestamp;

                if (step >= rawlog_offset)
                {
                    // Do not execute the PF at "step=0", to let the initial PDF
                    // to be
                    //   reflected in the logs.
                    if (step > rawlog_offset)
                    {
                        // ----------------------------------------
                        // RUN ONE STEP OF THE PARTICLE FILTER:
                        // ----------------------------------------
                        tictac.Tic();

                        PF.executeOn(
                            pdf,
                            action.get(),  // Action
                            observations.get(),  // Obs.
                            &PF_stats  // Output statistics
                        );
                    }

                    const auto [C, M] = pdf.getCovarianceAndMean();
                    cov = C;
                    meanPose = M;

                }  // end if rawlog_offset

                step++;

            };  // while rawlogEntries
        }  // for repetitions
    }  // end of loop for different # of particles
}

// TEST =================
TEST(MonteCarlo2D, RunSampleDataset)
{
#if MRPT_IS_BIG_ENDIAN
    MRPT_TODO("Debug this issue in big endian platforms")
    return;  // Skip this test for now
#endif

    // Actual ending point:
    const CPose2D GT_endpose(15.904, -10.010, DEG2RAD(4.93));

    // Placeholder for results:
    CPose2D meanPose;
    CMatrixDouble33 cov;

    // Invoke test:
    // Give it 3 opportunities, since it might fail once for bad luck, or even
    // twice in an extreme bad luck:
    for (int op = 0; op < 3; op++)
    {
        run_test_pf_localization(meanPose, cov);

        const double final_pf_cov_trace = cov.trace();
        const CPose2D final_pf_pose = meanPose;

        bool pass1 = (final_pf_pose - GT_endpose).norm() < 0.10;
        bool pass2 = final_pf_cov_trace < 0.01;

        if (pass1 && pass2) return;  // OK!

        // else: give it another try...
        cout << "\n*Warning: Test failed. Will give it another chance, since "
                "after all it's nondeterministic!\n";
    }

    FAIL() << "Failed to converge after 3 opportunities!!" << endl;
}