259 lines
10 KiB
C++
259 lines
10 KiB
C++
/* ----------------------------------------------------------------------------
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* GTSAM Copyright 2010, Georgia Tech Research Corporation,
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* Atlanta, Georgia 30332-0415
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* All Rights Reserved
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* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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* See LICENSE for the license information
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* -------------------------------------------------------------------------- */
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/**
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* @file testProjectionFactor.cpp
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* @brief Unit tests for ProjectionFactor Class
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* @author Frank Dellaert
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* @date Nov 2009
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*/
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#include <gtsam_unstable/slam/PoseBetweenFactor.h>
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#include <gtsam/inference/Symbol.h>
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#include <gtsam/geometry/Pose3.h>
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#include <gtsam/base/numericalDerivative.h>
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#include <gtsam/base/TestableAssertions.h>
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#include <CppUnitLite/TestHarness.h>
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using namespace std::placeholders;
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using namespace std;
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using namespace gtsam;
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typedef PoseBetweenFactor<Pose3> TestPoseBetweenFactor;
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/// traits
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namespace gtsam {
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template<>
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struct traits<TestPoseBetweenFactor> : public Testable<TestPoseBetweenFactor> {
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};
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, Constructor) {
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Key poseKey1(1);
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Key poseKey2(2);
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Pose3 measurement(Rot3::RzRyRx(0.15, -0.30, 0.45), Point3(-5.0, 8.0, -11.0));
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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TestPoseBetweenFactor factor(poseKey1, poseKey2, measurement, model);
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, ConstructorWithTransform) {
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Key poseKey1(1);
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Key poseKey2(2);
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Pose3 measurement(Rot3::RzRyRx(0.15, -0.30, 0.45), Point3(-5.0, 8.0, -11.0));
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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Pose3 body_P_sensor(Rot3::RzRyRx(-M_PI_2, 0.0, -M_PI_2), Point3(0.25, -0.10, 1.0));
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TestPoseBetweenFactor factor(poseKey1, poseKey2, measurement, model, body_P_sensor);
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, Equals ) {
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// Create two identical factors and make sure they're equal
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Key poseKey1(1);
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Key poseKey2(2);
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Pose3 measurement(Rot3::RzRyRx(0.15, -0.30, 0.45), Point3(-5.0, 8.0, -11.0));
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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TestPoseBetweenFactor factor1(poseKey1, poseKey2, measurement, model);
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TestPoseBetweenFactor factor2(poseKey1, poseKey2, measurement, model);
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CHECK(assert_equal(factor1, factor2));
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// Create a third, different factor and check for inequality
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Pose3 measurement2(Rot3::RzRyRx(0.20, -0.30, 0.45), Point3(-5.0, 8.0, -11.0));
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TestPoseBetweenFactor factor3(poseKey1, poseKey2, measurement2, model);
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CHECK(assert_inequal(factor1, factor3));
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, EqualsWithTransform ) {
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// Create two identical factors and make sure they're equal
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Key poseKey1(1);
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Key poseKey2(2);
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Pose3 measurement(Rot3::RzRyRx(0.15, -0.30, 0.45), Point3(-5.0, 8.0, -11.0));
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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Pose3 body_P_sensor(Rot3::RzRyRx(-M_PI_2, 0.0, -M_PI_2), Point3(0.25, -0.10, 1.0));
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TestPoseBetweenFactor factor1(poseKey1, poseKey2, measurement, model, body_P_sensor);
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TestPoseBetweenFactor factor2(poseKey1, poseKey2, measurement, model, body_P_sensor);
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CHECK(assert_equal(factor1, factor2));
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// Create a third, different factor and check for inequality
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Pose3 body_P_sensor2(Rot3::RzRyRx(-M_PI_2, 0.0, -M_PI_2), Point3(0.30, -0.10, 1.0));
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TestPoseBetweenFactor factor3(poseKey1, poseKey2, measurement, model, body_P_sensor2);
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CHECK(assert_inequal(factor1, factor3));
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, Error ) {
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// Create the measurement and linearization point
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Pose3 measurement(Rot3::RzRyRx(0.15, 0.15, -0.20), Point3(+0.5, -1.0, +1.0));
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Pose3 pose1(Rot3::RzRyRx(0.00, -0.15, 0.30), Point3(-4.0, 7.0, -10.0));
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Pose3 pose2(Rot3::RzRyRx(0.15, 0.00, 0.20), Point3(-3.5, 6.0, -9.0));
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// The expected error
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Vector expectedError(6);
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// The solution depends on choice of Pose3 and Rot3 Expmap mode!
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#if defined(GTSAM_ROT3_EXPMAP) || defined(GTSAM_USE_QUATERNIONS)
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expectedError << -0.0298135267953815,
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0.0131341515747393,
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0.0968868439682154,
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#if defined(GTSAM_POSE3_EXPMAP)
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-0.145701634472172,
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-0.134898525569125,
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-0.0421026389164264;
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#else
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-0.13918755,
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-0.142346243,
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-0.0390885321;
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#endif
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#else
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expectedError << -0.029839512616488,
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0.013145599455949,
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0.096971291682578,
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-0.139187549519821,
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-0.142346243063553,
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-0.039088532100977;
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#endif
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// Create a factor and calculate the error
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Key poseKey1(1);
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Key poseKey2(2);
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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TestPoseBetweenFactor factor(poseKey1, poseKey2, measurement, model);
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Vector actualError(factor.evaluateError(pose1, pose2));
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// Verify we get the expected error
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CHECK(assert_equal(expectedError, actualError, 1e-9));
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, ErrorWithTransform ) {
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// Create the measurement and linearization point
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Pose3 measurement(Rot3::RzRyRx(-0.15, 0.10, 0.15), Point3(+1.25, -0.90, +.45));
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Pose3 pose1(Rot3::RzRyRx(0.00, -0.15, 0.30), Point3(-4.0, 7.0, -10.0));
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Pose3 pose2(Rot3::RzRyRx(0.15, 0.00, 0.20), Point3(-3.5, 6.0, -9.0));
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Pose3 body_P_sensor(Rot3::RzRyRx(-M_PI_2, 0.0, -M_PI_2), Point3(0.25, -0.10, 1.0));
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// The expected error
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Vector expectedError(6);
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// The solution depends on choice of Pose3 and Rot3 Expmap mode!
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#if defined(GTSAM_ROT3_EXPMAP) || defined(GTSAM_USE_QUATERNIONS)
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expectedError << 0.0173358202010741,
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0.0222210698409755,
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-0.0125032003886145,
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#if defined(GTSAM_POSE3_EXPMAP)
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0.0263800787416566,
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0.00540285006310398,
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0.000175859555693563;
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#else
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0.0264132886,
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0.0052376953,
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-7.16127036e-05;
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#endif
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#else
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expectedError << 0.017337193670445,
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0.022222830355243,
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-0.012504190982804,
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0.026413288603739,
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0.005237695303536,
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-0.000071612703633;
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#endif
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// Create a factor and calculate the error
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Key poseKey1(1);
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Key poseKey2(2);
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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TestPoseBetweenFactor factor(poseKey1, poseKey2, measurement, model, body_P_sensor);
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Vector actualError(factor.evaluateError(pose1, pose2));
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// Verify we get the expected error
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CHECK(assert_equal(expectedError, actualError, 1e-9));
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, Jacobian ) {
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// Create a factor
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Key poseKey1(1);
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Key poseKey2(2);
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Pose3 measurement(Rot3::RzRyRx(0.15, 0.15, -0.20), Point3(+0.5, -1.0, +1.0));
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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TestPoseBetweenFactor factor(poseKey1, poseKey2, measurement, model);
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// Create a linearization point at the zero-error point
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Pose3 pose1(Rot3::RzRyRx(0.00, -0.15, 0.30), Point3(-4.0, 7.0, -10.0));
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Pose3 pose2(Rot3::RzRyRx(0.179693265735950, 0.002945368776519, 0.102274823253840),
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Point3(-3.37493895, 6.14660244, -8.93650986));
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// Calculate numerical derivatives
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Matrix expectedH1 = numericalDerivative11<Vector, Pose3>(
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std::bind(&TestPoseBetweenFactor::evaluateError, &factor,
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std::placeholders::_1, pose2, boost::none, boost::none),
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pose1);
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Matrix expectedH2 = numericalDerivative11<Vector, Pose3>(
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std::bind(&TestPoseBetweenFactor::evaluateError, &factor, pose1,
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std::placeholders::_1, boost::none, boost::none),
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pose2);
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// Use the factor to calculate the derivative
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Matrix actualH1;
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Matrix actualH2;
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factor.evaluateError(pose1, pose2, actualH1, actualH2);
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// Verify we get the expected error
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CHECK(assert_equal(expectedH1, actualH1, 1e-5));
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CHECK(assert_equal(expectedH2, actualH2, 1e-6));
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}
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/* ************************************************************************* */
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TEST( PoseBetweenFactor, JacobianWithTransform ) {
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// Create a factor
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Key poseKey1(1);
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Key poseKey2(2);
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Pose3 measurement(Rot3::RzRyRx(-0.15, 0.10, 0.15), Point3(+1.25, -0.90, +.45));
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SharedNoiseModel model = noiseModel::Isotropic::Sigma(6, 0.25);
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Pose3 body_P_sensor(Rot3::RzRyRx(-M_PI_2, 0.0, -M_PI_2), Point3(0.25, -0.10, 1.0));
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TestPoseBetweenFactor factor(poseKey1, poseKey2, measurement, model, body_P_sensor);
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// Create a linearization point at the zero-error point
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Pose3 pose1(Rot3::RzRyRx(0.00, -0.15, 0.30), Point3(-4.0, 7.0, -10.0));
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Pose3 pose2(Rot3::RzRyRx(0.162672458989103, 0.013665177349534, 0.224649482928184),
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Point3(-3.5257579, 6.02637531, -8.98382384));
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// Calculate numerical derivatives
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Matrix expectedH1 = numericalDerivative11<Vector, Pose3>(
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std::bind(&TestPoseBetweenFactor::evaluateError, &factor,
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std::placeholders::_1, pose2, boost::none, boost::none),
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pose1);
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Matrix expectedH2 = numericalDerivative11<Vector, Pose3>(
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std::bind(&TestPoseBetweenFactor::evaluateError, &factor, pose1,
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std::placeholders::_1, boost::none, boost::none),
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pose2);
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// Use the factor to calculate the derivative
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Matrix actualH1;
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Matrix actualH2;
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Vector error = factor.evaluateError(pose1, pose2, actualH1, actualH2);
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// Verify we get the expected error
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CHECK(assert_equal(expectedH1, actualH1, 1e-6));
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CHECK(assert_equal(expectedH2, actualH2, 1e-5));
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}
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/* ************************************************************************* */
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int main() { TestResult tr; return TestRegistry::runAllTests(tr); }
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/* ************************************************************************* */
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