Test RotationDeltaCostFunctor (#721)

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gaschler 2017-12-01 09:25:15 +01:00 committed by GitHub
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#include <cmath>
#include "Eigen/Core"
#include "ceres/ceres.h"
#include "ceres/rotation.h"
namespace cartographer {

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/*
* Copyright 2017 The Cartographer Authors
*
* 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.
*/
#include "cartographer/mapping_3d/scan_matching/rotation_delta_cost_functor.h"
#include "gtest/gtest.h"
namespace cartographer {
namespace mapping_3d {
namespace scan_matching {
namespace {
constexpr double kPrecision = 1e-8;
double ComputeRotationDeltaSquaredCost(
const Eigen::Quaterniond& rotation, const double scaling_factor,
const Eigen::Quaterniond& target_rotation) {
std::unique_ptr<ceres::CostFunction> cost_function(
RotationDeltaCostFunctor::CreateAutoDiffCostFunction(scaling_factor,
target_rotation));
const std::array<double, 4> parameter_quaternion = {
{rotation.w(), rotation.x(), rotation.y(), rotation.z()}};
const std::vector<const double*> parameters = {parameter_quaternion.data()};
std::vector<double> residuals(cost_function->num_residuals());
EXPECT_TRUE(cost_function->Evaluate(parameters.data(), residuals.data(),
nullptr /* jacobian */));
double sum_of_squares = 0;
for (double residual : residuals) {
sum_of_squares += residual * residual;
}
return sum_of_squares;
}
TEST(RotationDeltaCostFunctorTest, SameRotationGivesZeroCost) {
EXPECT_NEAR(
0.,
ComputeRotationDeltaSquaredCost(Eigen::Quaterniond::Identity(), 1.0,
Eigen::Quaterniond::Identity()),
kPrecision);
Eigen::Quaterniond rotation(
Eigen::AngleAxisd(0.9, Eigen::Vector3d(0.2, 0.1, 0.3).normalized()));
EXPECT_NEAR(0., ComputeRotationDeltaSquaredCost(rotation, 1.0, rotation),
kPrecision);
}
TEST(RotationDeltaCostFunctorTest, ComputesCorrectCost) {
double scaling_factor = 1.2;
double angle = 0.8;
Eigen::Quaterniond rotation(
Eigen::AngleAxisd(angle, Eigen::Vector3d(0.2, 0.1, 0.8).normalized()));
Eigen::Quaterniond target_rotation(
Eigen::AngleAxisd(0.2, Eigen::Vector3d(-0.5, 0.3, 0.4).normalized()));
double expected_cost = std::pow(scaling_factor * std::sin(angle / 2.0), 2);
EXPECT_NEAR(expected_cost,
ComputeRotationDeltaSquaredCost(rotation, scaling_factor,
Eigen::Quaterniond::Identity()),
kPrecision);
EXPECT_NEAR(expected_cost,
ComputeRotationDeltaSquaredCost(target_rotation * rotation,
scaling_factor, target_rotation),
kPrecision);
EXPECT_NEAR(expected_cost,
ComputeRotationDeltaSquaredCost(rotation * target_rotation,
scaling_factor, target_rotation),
kPrecision);
}
} // namespace
} // namespace scan_matching
} // namespace mapping_3d
} // namespace cartographer