Test RotationDeltaCostFunctor (#721)
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63e901d276
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1ff8243802
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@ -20,6 +20,7 @@
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#include <cmath>
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#include "Eigen/Core"
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#include "ceres/ceres.h"
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#include "ceres/rotation.h"
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namespace cartographer {
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@ -0,0 +1,85 @@
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/*
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* Copyright 2017 The Cartographer Authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "cartographer/mapping_3d/scan_matching/rotation_delta_cost_functor.h"
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#include "gtest/gtest.h"
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namespace cartographer {
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namespace mapping_3d {
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namespace scan_matching {
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namespace {
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constexpr double kPrecision = 1e-8;
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double ComputeRotationDeltaSquaredCost(
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const Eigen::Quaterniond& rotation, const double scaling_factor,
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const Eigen::Quaterniond& target_rotation) {
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std::unique_ptr<ceres::CostFunction> cost_function(
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RotationDeltaCostFunctor::CreateAutoDiffCostFunction(scaling_factor,
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target_rotation));
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const std::array<double, 4> parameter_quaternion = {
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{rotation.w(), rotation.x(), rotation.y(), rotation.z()}};
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const std::vector<const double*> parameters = {parameter_quaternion.data()};
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std::vector<double> residuals(cost_function->num_residuals());
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EXPECT_TRUE(cost_function->Evaluate(parameters.data(), residuals.data(),
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nullptr /* jacobian */));
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double sum_of_squares = 0;
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for (double residual : residuals) {
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sum_of_squares += residual * residual;
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}
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return sum_of_squares;
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}
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TEST(RotationDeltaCostFunctorTest, SameRotationGivesZeroCost) {
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EXPECT_NEAR(
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0.,
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ComputeRotationDeltaSquaredCost(Eigen::Quaterniond::Identity(), 1.0,
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Eigen::Quaterniond::Identity()),
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kPrecision);
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Eigen::Quaterniond rotation(
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Eigen::AngleAxisd(0.9, Eigen::Vector3d(0.2, 0.1, 0.3).normalized()));
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EXPECT_NEAR(0., ComputeRotationDeltaSquaredCost(rotation, 1.0, rotation),
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kPrecision);
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}
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TEST(RotationDeltaCostFunctorTest, ComputesCorrectCost) {
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double scaling_factor = 1.2;
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double angle = 0.8;
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Eigen::Quaterniond rotation(
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Eigen::AngleAxisd(angle, Eigen::Vector3d(0.2, 0.1, 0.8).normalized()));
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Eigen::Quaterniond target_rotation(
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Eigen::AngleAxisd(0.2, Eigen::Vector3d(-0.5, 0.3, 0.4).normalized()));
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double expected_cost = std::pow(scaling_factor * std::sin(angle / 2.0), 2);
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EXPECT_NEAR(expected_cost,
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ComputeRotationDeltaSquaredCost(rotation, scaling_factor,
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Eigen::Quaterniond::Identity()),
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kPrecision);
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EXPECT_NEAR(expected_cost,
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ComputeRotationDeltaSquaredCost(target_rotation * rotation,
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scaling_factor, target_rotation),
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kPrecision);
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EXPECT_NEAR(expected_cost,
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ComputeRotationDeltaSquaredCost(rotation * target_rotation,
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scaling_factor, target_rotation),
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kPrecision);
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}
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} // namespace
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} // namespace scan_matching
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} // namespace mapping_3d
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} // namespace cartographer
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