CPose3DPDFGrid_unittest.cpp

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          https://www.mrpt.org/                         |
   |                                                                        |
   | Copyright (c) 2005-2020, 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 <CTraitsTest.h>
#include <gtest/gtest.h>
#include <mrpt/poses/CPose3D.h>
#include <mrpt/poses/CPose3DPDFGrid.h>
//#include <Eigen/Dense>

using namespace mrpt;
using namespace mrpt::poses;
using namespace mrpt::math;
using namespace std;

template class mrpt::CTraitsTest<CPose3DPDFGrid>;

const auto bb_min =
    mrpt::math::TPose3D(1, 2, 3, -20.0_deg, -30.0_deg, -40.0_deg);
const auto bb_max = mrpt::math::TPose3D(3, 4, 5, 20.0_deg, 30.0_deg, 40.0_deg);

TEST(CPose3DPDFGrid, uniformDistribution)
{
    const auto gt_mean = mrpt::math::TPose3D(2, 3, 4, .0_deg, .0_deg, .0_deg);

    const double res_xyz = 0.25;
    const double res_YPR = mrpt::DEG2RAD(10.0);

    auto grid = mrpt::poses::CPose3DPDFGrid(bb_min, bb_max, res_xyz, res_YPR);

    grid.uniformDistribution();

    auto [COV, MEAN] = grid.getCovarianceAndMean();

    EXPECT_NEAR(MEAN.x(), gt_mean.x, 1e-4);
    EXPECT_NEAR(MEAN.y(), gt_mean.y, 1e-4);
    EXPECT_NEAR(MEAN.z(), gt_mean.z, 1e-4);

    EXPECT_NEAR(MEAN.yaw(), gt_mean.yaw, 1e-4);
    EXPECT_NEAR(MEAN.pitch(), gt_mean.pitch, 1e-4);
    EXPECT_NEAR(MEAN.roll(), gt_mean.roll, 1e-4);

    for (int i = 0; i < 3; i++) EXPECT_GT(COV(i, i), mrpt::square(0.25));
    for (int i = 4; i < 6; i++)
        EXPECT_GT(COV(i, i), mrpt::square(mrpt::DEG2RAD(3.0)));
}

TEST(CPose3DPDFGrid, setManualPDF)
{
    const auto gt_mean =
        mrpt::math::TPose3D(2, 3, 4, 9.0_deg, 34.0_deg, 12.0_deg);

    const double res_xyz = 0.25;
    const double res_YPR = mrpt::DEG2RAD(10.0);

    auto grid = mrpt::poses::CPose3DPDFGrid(bb_min, bb_max, res_xyz, res_YPR);

    grid.fill(0);

    *grid.getByPos(gt_mean) = .1;

    grid.normalize();

    auto [COV, MEAN] = grid.getCovarianceAndMean();

    EXPECT_NEAR(MEAN.x(), gt_mean.x, 0.2);
    EXPECT_NEAR(MEAN.y(), gt_mean.y, 0.2);
    EXPECT_NEAR(MEAN.z(), gt_mean.z, 0.2);

    EXPECT_NEAR(MEAN.yaw(), gt_mean.yaw, 0.1);
    EXPECT_NEAR(MEAN.pitch(), gt_mean.pitch, 0.1);
    EXPECT_NEAR(MEAN.roll(), gt_mean.roll, 0.1);

    for (int i = 0; i < 6; i++) EXPECT_LT(COV(i, i), mrpt::square(0.05));
}