GridMapPclLoaderTest.cpp

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/*
 * FlatGroundTest.cpp
 *
 *  Created on: Nov 4, 2019
 *      Author: Edo Jelavic
 *      Institute: ETH Zurich, Robotic Systems Lab
 */

#include <gtest/gtest.h>
#include <cstdlib>

#include "grid_map_pcl/GridMapPclLoader.hpp"

#include "PointcloudCreator.hpp"
#include "test_helpers.hpp"

namespace grid_map {
namespace grid_map_pcl_test {

TEST(GridMapPclLoaderTest, FlatGroundRealDataset)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);

  grid_map::GridMapPclLoader gridMapPclLoader;
  gridMapPclLoader.loadParameters(grid_map_pcl_test::getConfigFilePath());
  gridMapPclLoader.loadCloudFromPcdFile(grid_map_pcl_test::getTestPcdFilePath());
  gridMapPclLoader.preProcessInputCloud();
  gridMapPclLoader.initializeGridMapGeometryFromInputCloud();
  gridMapPclLoader.addLayerFromInputCloud(grid_map_pcl_test::layerName);

  const auto& gridMap = gridMapPclLoader.getGridMap();
  const auto elevationValues = grid_map_pcl_test::getNonNanElevationValues(gridMap);

  EXPECT_TRUE(!elevationValues.empty());

  // test that all the elevation values are equal
  // allow for some difference (2cm) since the input cloud is noisy (real dataset)
  double referenceElevation = elevationValues.front();
  for (const auto& elevation : elevationValues) {
    EXPECT_NEAR(elevation, referenceElevation, 2e-2);
  }
}

TEST(GridMapPclLoaderTest, PerfectPlane)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  const int numTests = 10;
  for (int i = 0; i < numTests; ++i) {
    double height;
    auto cloud = grid_map_pcl_test::PointcloudCreator::createPerfectPlane(&height);
    grid_map::GridMapPclLoader gridMapPclLoader;
    grid_map_pcl_test::runGridMapPclLoaderOnInputCloud(cloud, &gridMapPclLoader);
    const auto elevationValues = grid_map_pcl_test::getNonNanElevationValues(gridMapPclLoader.getGridMap());

    EXPECT_TRUE(!elevationValues.empty());

    const double tolerance = 1e-5;
    for (const auto& elevation : elevationValues) {
      EXPECT_NEAR(elevation, height, tolerance);
    }
  }

  if (::testing::Test::HasFailure()) {
    std::cout << "\n Test PerfectPlane failed with seed: " << seed << std::endl;
  }
}

TEST(GridMapPclLoaderTest, NoisyPlane)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  const int numTests = 10;
  for (int i = 0; i < numTests; ++i) {
    double height;
    double stdDevZ;
    auto cloud = grid_map_pcl_test::PointcloudCreator::createNoisyPlane(&height, &stdDevZ);
    grid_map::GridMapPclLoader gridMapPclLoader;
    grid_map_pcl_test::runGridMapPclLoaderOnInputCloud(cloud, &gridMapPclLoader);
    const auto elevationValues = grid_map_pcl_test::getNonNanElevationValues(gridMapPclLoader.getGridMap());

    EXPECT_TRUE(!elevationValues.empty());
    for (const auto& elevation : elevationValues) {
      EXPECT_NEAR(elevation, height, 3 * stdDevZ);
    }
  }

  if (::testing::Test::HasFailure()) {
    std::cout << "\n Test NoisyPlane failed with seed: " << seed << std::endl;
  }
}

TEST(GridMapPclLoaderTest, NoisyDoublePlane)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  double minZ, stdDevZ;
  auto cloud = grid_map_pcl_test::PointcloudCreator::createNoisyDoublePlane(&minZ, &stdDevZ);
  grid_map::GridMapPclLoader gridMapPclLoader;
  grid_map_pcl_test::runGridMapPclLoaderOnInputCloud(cloud, &gridMapPclLoader);
  const auto elevationValues = grid_map_pcl_test::getNonNanElevationValues(gridMapPclLoader.getGridMap());

  EXPECT_TRUE(!elevationValues.empty());
  for (const auto& elevation : elevationValues) {
    EXPECT_NEAR(elevation, minZ, 3 * stdDevZ);
  }

  if (::testing::Test::HasFailure()) {
    std::cout << "\n Test NoisyDoublePlane failed with seed: " << seed << std::endl;
  }
}

TEST(GridMapPclLoaderTest, InitializeGeometry)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  const unsigned int numTests = 1000;
  for (unsigned int i = 0; i < numTests; ++i) {
    double xLocation, yLocation;
    auto cloud = grid_map_pcl_test::PointcloudCreator::createVerticesOfASquare(&xLocation, &yLocation);
    grid_map::GridMapPclLoader gridMapPclLoader;
    gridMapPclLoader.loadParameters(grid_map_pcl_test::getConfigFilePath());
    gridMapPclLoader.setInputCloud(cloud);
    gridMapPclLoader.initializeGridMapGeometryFromInputCloud();
    auto gridMap = gridMapPclLoader.getGridMap();
    auto center = gridMap.getPosition();

    const double tolerance = 1e-5;
    EXPECT_NEAR(center.x(), 0.0, tolerance);
    EXPECT_NEAR(center.y(), 0.0, tolerance);
    auto length = gridMap.getLength();
    EXPECT_NEAR(length.x(), std::round(2 * xLocation), tolerance);
    EXPECT_NEAR(length.y(), std::round(2 * yLocation), tolerance);

    cloud->clear();
  }

  if (::testing::Test::HasFailure()) {
    std::cout << "\n Test InitializeGeometry failed with seed: " << seed << std::endl;
  }
}

TEST(GridMapPclLoaderTest, NoisyStepTerrain)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  const int numTests = 10;
  for (int i = 0; i < numTests; ++i) {
    double stepLocationX, zHigh, zLow, stdDevZ;
    const auto cloud = grid_map_pcl_test::PointcloudCreator::createNoisyPointcloudOfStepTerrain(&stepLocationX, &zHigh, &zLow, &stdDevZ);
    grid_map::GridMapPclLoader gridMapPclLoader;
    grid_map_pcl_test::runGridMapPclLoaderOnInputCloud(cloud, &gridMapPclLoader);
    const auto coordinates = grid_map_pcl_test::getNonNanElevationValuesWithCoordinates(gridMapPclLoader.getGridMap());

    EXPECT_TRUE(!coordinates.empty());
    for (const auto& coordinate : coordinates) {
      if (coordinate.x() > stepLocationX) {
        EXPECT_NEAR(coordinate.z(), zHigh, 3 * stdDevZ);
      }
      if (coordinate.x() < stepLocationX) {
        EXPECT_NEAR(coordinate.z(), zLow, 3 * stdDevZ);
      }
    }
  }

  if (::testing::Test::HasFailure()) {
    std::cout << "\n Test NoisyStepTerrain failed with seed: " << seed << std::endl;
  }

}  // end StepTerrainPointcloud test

TEST(GridMapPclLoaderTest, CalculateElevation)  // NOLINT
{
  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  const unsigned int numTests = 10;
  for (unsigned int i = 0; i < numTests; ++i) {
    double minZ, stdDevZ;
    int nBlobs;
    auto cloud = grid_map_pcl_test::PointcloudCreator::createNBlobsAboveEachOther(&minZ, &stdDevZ, &nBlobs);
    grid_map::GridMapPclLoader gridMapPclLoader;
    gridMapPclLoader.loadParameters(grid_map_pcl_test::getConfigFilePath());
    gridMapPclLoader.setInputCloud(cloud);

    std::vector<float> clusterHeights;
    gridMapPclLoader.calculateElevationFromPointsInsideGridMapCell(cloud, clusterHeights);
    const float elevation = *std::min_element(clusterHeights.begin(), clusterHeights.end());
    EXPECT_NEAR(elevation, minZ, 3 * stdDevZ);
  }

  if (::testing::Test::HasFailure()) {
    std::cout << "\n Test CalculateElevation failed with seed: " << seed << std::endl;
  }
}

TEST(GridMapPclLoaderTest, SavePointclouds)  // NOLINT
{
  if (!grid_map_pcl_test::savePointclouds) {
    return;
  }

  grid_map_pcl_test::setVerbosityLevel(ros::console::levels::Warn);
  const auto seed = rand();
  grid_map_pcl_test::rndGenerator.seed(seed);

  double dummyDouble1, dummyDouble2, dummyDouble3, dummyDouble4;
  int dummyInt;

  grid_map::GridMapPclLoader gridMapPclLoader;
  gridMapPclLoader.loadParameters(grid_map_pcl_test::getConfigFilePath());

  // perfect plane
  std::string filename = grid_map_pcl_test::getTestDataFolderPath() + "/perfectPlane.pcd";
  auto cloud = grid_map_pcl_test::PointcloudCreator::createPerfectPlane(&dummyDouble1);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);

  // n blobs
  filename = grid_map_pcl_test::getTestDataFolderPath() + "/Nblobs.pcd";
  cloud = grid_map_pcl_test::PointcloudCreator::createNBlobsAboveEachOther(&dummyDouble1, &dummyDouble2, &dummyInt);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);

  // 4 points
  filename = grid_map_pcl_test::getTestDataFolderPath() + "/4pointSquare.pcd";
  cloud = grid_map_pcl_test::PointcloudCreator::createVerticesOfASquare(&dummyDouble1, &dummyDouble2);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);

  // blob
  filename = grid_map_pcl_test::getTestDataFolderPath() + "/blob.pcd";
  cloud = grid_map_pcl_test::PointcloudCreator::createBlobOfPoints(&dummyDouble1, &dummyDouble2);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);

  // step terrain
  filename = grid_map_pcl_test::getTestDataFolderPath() + "/stepTerrain.pcd";
  cloud =
      grid_map_pcl_test::PointcloudCreator::createNoisyPointcloudOfStepTerrain(&dummyDouble1, &dummyDouble2, &dummyDouble3, &dummyDouble4);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);

  // noisy plane
  filename = grid_map_pcl_test::getTestDataFolderPath() + "/noisyPlane.pcd";
  cloud = grid_map_pcl_test::PointcloudCreator::createNoisyPlane(&dummyDouble1, &dummyDouble2);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);

  // noisy double plane
  filename = grid_map_pcl_test::getTestDataFolderPath() + "/doublePlane.pcd";
  cloud = grid_map_pcl_test::PointcloudCreator::createNoisyDoublePlane(&dummyDouble1, &dummyDouble2);
  gridMapPclLoader.setInputCloud(cloud);
  gridMapPclLoader.savePointCloudAsPcdFile(filename);
}

} /*namespace grid_map_pcl_test */

}  // namespace grid_map