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test(shape_estimation): add unit test on shape_estimation (autowarefo…
…undation#7073) * feat: add unit test Signed-off-by: Taekjin LEE <taekjin.lee@tier4.jp> * fix: adjust input cluster, expected value Signed-off-by: Taekjin LEE <taekjin.lee@tier4.jp> * feat: add testing data generation function Signed-off-by: Taekjin LEE <taekjin.lee@tier4.jp> * fix: remove unused glog Signed-off-by: Taekjin LEE <taekjin.lee@tier4.jp> --------- Signed-off-by: Taekjin LEE <taekjin.lee@tier4.jp>
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perception/shape_estimation/test/shape_estimation/test_shape_estimator.cpp
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// Copyright 2024 TIER IV, inc. | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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#include "shape_estimation/corrector/corrector.hpp" | ||
#include "shape_estimation/filter/filter.hpp" | ||
#include "shape_estimation/model/model.hpp" | ||
#include "shape_estimation/shape_estimator.hpp" | ||
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#include <gtest/gtest.h> | ||
#include <math.h> | ||
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namespace | ||
{ | ||
double yawFromQuaternion(const geometry_msgs::msg::Quaternion & q) | ||
{ | ||
return atan2(2.0 * (q.w * q.z + q.x * q.y), 1.0 - 2.0 * (q.y * q.y + q.z * q.z)); | ||
} | ||
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double deg2rad(const double deg) | ||
{ | ||
return deg / 180.0 * M_PI; | ||
} | ||
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pcl::PointCloud<pcl::PointXYZ> createLShapeCluster( | ||
const double length, const double width, const double height, const double yaw, | ||
const double offset_x, const double offset_y) | ||
{ | ||
pcl::PointCloud<pcl::PointXYZ> cluster; | ||
for (double x = -length / 2; x < length / 2; x += 0.4) { | ||
cluster.push_back(pcl::PointXYZ(x, width / 2, 0.0)); | ||
} | ||
for (double y = -width / 2; y < width / 2; y += 0.2) { | ||
cluster.push_back(pcl::PointXYZ(-length / 2, y, 0.0)); | ||
} | ||
cluster.push_back(pcl::PointXYZ(length / 2, -width / 2, 0.0)); | ||
cluster.push_back(pcl::PointXYZ(length / 2, width / 2, 0.0)); | ||
cluster.push_back(pcl::PointXYZ(-length / 2, -width / 2, 0.0)); | ||
cluster.push_back(pcl::PointXYZ(-length / 2, width / 2, 0.0)); | ||
cluster.push_back(pcl::PointXYZ(0.0, 0.0, height)); | ||
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for (auto & point : cluster) { | ||
const double x = point.x; | ||
const double y = point.y; | ||
// rotate | ||
point.x = x * cos(yaw) - y * sin(yaw); | ||
point.y = x * sin(yaw) + y * cos(yaw); | ||
// offset | ||
point.x += offset_x; | ||
point.y += offset_y; | ||
} | ||
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return cluster; | ||
} | ||
} // namespace | ||
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// test BoundingBoxShapeModel | ||
// 1. base case | ||
TEST(BoundingBoxShapeModel, test_estimateShape) | ||
{ | ||
// Generate BoundingBoxShapeModel | ||
BoundingBoxShapeModel bbox_shape_model = BoundingBoxShapeModel(); | ||
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// Generate cluster | ||
const double length = 4.0; | ||
const double width = 2.0; | ||
const double height = 1.0; | ||
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pcl::PointCloud<pcl::PointXYZ> cluster = | ||
createLShapeCluster(length, width, height, 0.0, 0.0, 0.0); | ||
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// Generate shape and pose output | ||
autoware_auto_perception_msgs::msg::Shape shape_output; | ||
geometry_msgs::msg::Pose pose_output; | ||
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// Test estimateShape | ||
const bool result = bbox_shape_model.estimate(cluster, shape_output, pose_output); | ||
EXPECT_TRUE(result); | ||
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// Check shape_output | ||
EXPECT_EQ(shape_output.type, autoware_auto_perception_msgs::msg::Shape::BOUNDING_BOX); | ||
EXPECT_NEAR(shape_output.dimensions.x, length, length * 0.1); | ||
EXPECT_NEAR(shape_output.dimensions.y, width, width * 0.1); | ||
EXPECT_NEAR(shape_output.dimensions.z, height, height * 0.1); | ||
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// Check pose_output | ||
EXPECT_NEAR(pose_output.position.x, 0.0, 1e-2); | ||
EXPECT_NEAR(pose_output.position.y, 0.0, 1e-2); | ||
EXPECT_NEAR(pose_output.position.z, height / 2, 1e-2); | ||
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// transform quaternion to yaw | ||
const double pose_output_yaw = yawFromQuaternion(pose_output.orientation); | ||
EXPECT_NEAR(pose_output_yaw, 0, 1e-3); | ||
} | ||
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// 2. rotated case | ||
TEST(BoundingBoxShapeModel, test_estimateShape_rotated) | ||
{ | ||
// Generate cluster | ||
const double length = 4.0; | ||
const double width = 2.0; | ||
const double height = 1.0; | ||
const double yaw = deg2rad(30.0); | ||
const double offset_x = 10.0; | ||
const double offset_y = 1.0; | ||
pcl::PointCloud<pcl::PointXYZ> cluster = | ||
createLShapeCluster(length, width, height, yaw, offset_x, offset_y); | ||
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const auto ref_yaw_info = | ||
ReferenceYawInfo{static_cast<float>(yaw), static_cast<float>(deg2rad(10.0))}; | ||
const bool use_boost_bbox_optimizer = true; | ||
// Generate BoundingBoxShapeModel | ||
BoundingBoxShapeModel bbox_shape_model = | ||
BoundingBoxShapeModel(ref_yaw_info, use_boost_bbox_optimizer); | ||
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// Generate shape and pose output | ||
autoware_auto_perception_msgs::msg::Shape shape_output; | ||
geometry_msgs::msg::Pose pose_output; | ||
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// Test estimateShape | ||
const bool result = bbox_shape_model.estimate(cluster, shape_output, pose_output); | ||
EXPECT_TRUE(result); | ||
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// Check shape_output | ||
EXPECT_EQ(shape_output.type, autoware_auto_perception_msgs::msg::Shape::BOUNDING_BOX); | ||
EXPECT_NEAR(shape_output.dimensions.x, length, length * 0.1); | ||
EXPECT_NEAR(shape_output.dimensions.y, width, width * 0.1); | ||
EXPECT_NEAR(shape_output.dimensions.z, height, height * 0.1); | ||
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// Check pose_output | ||
EXPECT_NEAR(pose_output.position.x, offset_x, 1.0); | ||
EXPECT_NEAR(pose_output.position.y, offset_y, 1.0); | ||
EXPECT_NEAR(pose_output.position.z, height / 2, 1.0); | ||
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// transform quaternion to yaw | ||
const double pose_output_yaw = yawFromQuaternion(pose_output.orientation); | ||
EXPECT_NEAR(pose_output_yaw, yaw, deg2rad(15.0)); | ||
} | ||
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// test CylinderShapeModel | ||
TEST(CylinderShapeModel, test_estimateShape) | ||
{ | ||
// Generate CylinderShapeModel | ||
CylinderShapeModel cylinder_shape_model = CylinderShapeModel(); | ||
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// Generate cluster | ||
pcl::PointCloud<pcl::PointXYZ> cluster = createLShapeCluster(4.0, 2.0, 1.0, 0.0, 0.0, 0.0); | ||
// Generate shape and pose output | ||
autoware_auto_perception_msgs::msg::Shape shape_output; | ||
geometry_msgs::msg::Pose pose_output; | ||
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// Test estimateShape | ||
const bool result = cylinder_shape_model.estimate(cluster, shape_output, pose_output); | ||
EXPECT_TRUE(result); | ||
} | ||
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// test ConvexHullShapeModel | ||
TEST(ConvexHullShapeModel, test_estimateShape) | ||
{ | ||
// Generate ConvexHullShapeModel | ||
ConvexHullShapeModel convex_hull_shape_model = ConvexHullShapeModel(); | ||
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// Generate cluster | ||
pcl::PointCloud<pcl::PointXYZ> cluster = createLShapeCluster(2.0, 1.0, 1.0, 0.0, 0.0, 0.0); | ||
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// Generate shape and pose output | ||
autoware_auto_perception_msgs::msg::Shape shape_output; | ||
geometry_msgs::msg::Pose pose_output; | ||
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// Test estimateShape | ||
const bool result = convex_hull_shape_model.estimate(cluster, shape_output, pose_output); | ||
EXPECT_TRUE(result); | ||
} | ||
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// test ShapeEstimator | ||
TEST(ShapeEstimator, test_estimateShapeAndPose) | ||
{ | ||
// Generate cluster | ||
double length = 4.0; | ||
double width = 2.0; | ||
double height = 1.0; | ||
const double yaw = deg2rad(60.0); | ||
const double offset_x = 6.0; | ||
const double offset_y = -2.0; | ||
pcl::PointCloud<pcl::PointXYZ> cluster = | ||
createLShapeCluster(length, width, height, yaw, offset_x, offset_y); | ||
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// Generate ShapeEstimator | ||
const bool use_corrector = true; | ||
const bool use_filter = true; | ||
const bool use_boost_bbox_optimizer = true; | ||
ShapeEstimator shape_estimator = | ||
ShapeEstimator(use_corrector, use_filter, use_boost_bbox_optimizer); | ||
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// Generate ref_yaw_info | ||
boost::optional<ReferenceYawInfo> ref_yaw_info = boost::none; | ||
boost::optional<ReferenceShapeSizeInfo> ref_shape_size_info = boost::none; | ||
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ref_yaw_info = ReferenceYawInfo{static_cast<float>(yaw), static_cast<float>(deg2rad(10.0))}; | ||
const auto label = autoware_auto_perception_msgs::msg::ObjectClassification::CAR; | ||
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// Generate shape and pose output | ||
autoware_auto_perception_msgs::msg::Shape shape_output; | ||
geometry_msgs::msg::Pose pose_output; | ||
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// Test estimateShapeAndPose | ||
const bool result = shape_estimator.estimateShapeAndPose( | ||
label, cluster, ref_yaw_info, ref_shape_size_info, shape_output, pose_output); | ||
EXPECT_TRUE(result); | ||
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// Check shape_output | ||
EXPECT_EQ(shape_output.type, autoware_auto_perception_msgs::msg::Shape::BOUNDING_BOX); | ||
EXPECT_NEAR(shape_output.dimensions.x, length, length * 0.1); | ||
EXPECT_NEAR(shape_output.dimensions.y, width, width * 0.1); | ||
EXPECT_NEAR(shape_output.dimensions.z, height, height * 0.1); | ||
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// Check pose_output | ||
EXPECT_NEAR(pose_output.position.x, offset_x, 1.0); | ||
EXPECT_NEAR(pose_output.position.y, offset_y, 1.0); | ||
EXPECT_NEAR(pose_output.position.z, height / 2, 1.0); | ||
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// transform quaternion to yaw | ||
const double pose_output_yaw = yawFromQuaternion(pose_output.orientation); | ||
EXPECT_NEAR(pose_output_yaw, yaw, deg2rad(15.0)); | ||
} |
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perception/shape_estimation/test/test_shape_estimation.cpp
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// Copyright 2024 TIER IV, inc. | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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#include <rclcpp/rclcpp.hpp> | ||
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#include <gtest/gtest.h> | ||
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int main(int argc, char * argv[]) | ||
{ | ||
testing::InitGoogleTest(&argc, argv); | ||
rclcpp::init(argc, argv); | ||
bool result = RUN_ALL_TESTS(); | ||
rclcpp::shutdown(); | ||
return result; | ||
} |