353 lines
12 KiB
C++
353 lines
12 KiB
C++
/**
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* @file testNonlinearEqualityConstraint.cpp
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* @author Alex Cunningham
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*/
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#include <gtsam/CppUnitLite/TestHarness.h>
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#include <gtsam/slam/simulated2DConstraints.h>
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#include <gtsam/slam/visualSLAM.h>
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#include <gtsam/nonlinear/NonlinearFactorGraph-inl.h>
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#include <gtsam/nonlinear/NonlinearOptimizer-inl.h>
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namespace eq2D = gtsam::simulated2D::equality_constraints;
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using namespace std;
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using namespace gtsam;
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static const double tol = 1e-5;
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SharedDiagonal hard_model = noiseModel::Constrained::All(2);
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SharedDiagonal soft_model = noiseModel::Isotropic::Sigma(2, 1.0);
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typedef NonlinearFactorGraph<simulated2D::Values> Graph;
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typedef boost::shared_ptr<Graph> shared_graph;
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typedef boost::shared_ptr<simulated2D::Values> shared_values;
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typedef NonlinearOptimizer<Graph, simulated2D::Values> Optimizer;
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/* ************************************************************************* */
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TEST( testNonlinearEqualityConstraint, unary_basics ) {
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Point2 pt(1.0, 2.0);
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simulated2D::PoseKey key(1);
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double mu = 1000.0;
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eq2D::UnaryEqualityConstraint constraint(pt, key, mu);
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simulated2D::Values config1;
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config1.insert(key, pt);
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EXPECT(constraint.active(config1));
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EXPECT(assert_equal(zero(2), constraint.evaluateError(pt), tol));
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EXPECT(assert_equal(zero(2), constraint.unwhitenedError(config1), tol));
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EXPECT_DOUBLES_EQUAL(0.0, constraint.error(config1), tol);
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simulated2D::Values config2;
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Point2 ptBad1(2.0, 2.0);
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config2.insert(key, ptBad1);
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EXPECT(constraint.active(config2));
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EXPECT(assert_equal(Vector_(2, 1.0, 0.0), constraint.evaluateError(ptBad1), tol));
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EXPECT(assert_equal(Vector_(2, 1.0, 0.0), constraint.unwhitenedError(config2), tol));
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EXPECT_DOUBLES_EQUAL(1000.0, constraint.error(config2), tol);
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}
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/* ************************************************************************* */
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TEST( testNonlinearEqualityConstraint, unary_linearization ) {
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Point2 pt(1.0, 2.0);
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simulated2D::PoseKey key(1);
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double mu = 1000.0;
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eq2D::UnaryEqualityConstraint constraint(pt, key, mu);
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simulated2D::Values config1;
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config1.insert(key, pt);
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GaussianFactor::shared_ptr actual1 = constraint.linearize(config1);
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GaussianFactor::shared_ptr expected1(new GaussianFactor(key, eye(2,2), zero(2), hard_model));
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EXPECT(assert_equal(*expected1, *actual1, tol));
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simulated2D::Values config2;
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Point2 ptBad(2.0, 2.0);
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config2.insert(key, ptBad);
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GaussianFactor::shared_ptr actual2 = constraint.linearize(config2);
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GaussianFactor::shared_ptr expected2(new GaussianFactor(key, eye(2,2), Vector_(2,-1.0,0.0), hard_model));
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EXPECT(assert_equal(*expected2, *actual2, tol));
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}
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/* ************************************************************************* */
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TEST( testNonlinearEqualityConstraint, unary_simple_optimization ) {
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// create a single-node graph with a soft and hard constraint to
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// ensure that the hard constraint overrides the soft constraint
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Point2 truth_pt(1.0, 2.0);
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simulated2D::PoseKey key(1);
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double mu = 1000.0;
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eq2D::UnaryEqualityConstraint::shared_ptr constraint(
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new eq2D::UnaryEqualityConstraint(truth_pt, key, mu));
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Point2 badPt(100.0, -200.0);
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simulated2D::Prior::shared_ptr factor(
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new simulated2D::Prior(badPt, soft_model, key));
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shared_graph graph(new Graph());
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graph->push_back(constraint);
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graph->push_back(factor);
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shared_values initValues(new simulated2D::Values());
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initValues->insert(key, badPt);
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Optimizer::shared_values actual = Optimizer::optimizeLM(graph, initValues);
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simulated2D::Values expected;
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expected.insert(key, truth_pt);
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CHECK(assert_equal(expected, *actual, tol));
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}
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/* ************************************************************************* */
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TEST( testNonlinearEqualityConstraint, odo_basics ) {
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Point2 x1(1.0, 2.0), x2(2.0, 3.0), odom(1.0, 1.0);
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simulated2D::PoseKey key1(1), key2(2);
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double mu = 1000.0;
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eq2D::OdoEqualityConstraint constraint(odom, key1, key2, mu);
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simulated2D::Values config1;
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config1.insert(key1, x1);
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config1.insert(key2, x2);
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EXPECT(constraint.active(config1));
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EXPECT(assert_equal(zero(2), constraint.evaluateError(x1, x2), tol));
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EXPECT(assert_equal(zero(2), constraint.unwhitenedError(config1), tol));
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EXPECT_DOUBLES_EQUAL(0.0, constraint.error(config1), tol);
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simulated2D::Values config2;
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Point2 x1bad(2.0, 2.0);
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Point2 x2bad(2.0, 2.0);
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config2.insert(key1, x1bad);
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config2.insert(key2, x2bad);
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EXPECT(constraint.active(config2));
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EXPECT(assert_equal(Vector_(2, -1.0, -1.0), constraint.evaluateError(x1bad, x2bad), tol));
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EXPECT(assert_equal(Vector_(2, -1.0, -1.0), constraint.unwhitenedError(config2), tol));
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EXPECT_DOUBLES_EQUAL(2000.0, constraint.error(config2), tol);
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}
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/* ************************************************************************* */
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TEST( testNonlinearEqualityConstraint, odo_linearization ) {
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Point2 x1(1.0, 2.0), x2(2.0, 3.0), odom(1.0, 1.0);
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simulated2D::PoseKey key1(1), key2(2);
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double mu = 1000.0;
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eq2D::OdoEqualityConstraint constraint(odom, key1, key2, mu);
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simulated2D::Values config1;
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config1.insert(key1, x1);
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config1.insert(key2, x2);
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GaussianFactor::shared_ptr actual1 = constraint.linearize(config1);
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GaussianFactor::shared_ptr expected1(
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new GaussianFactor(key1, -eye(2,2), key2, eye(2,2), zero(2), hard_model));
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EXPECT(assert_equal(*expected1, *actual1, tol));
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simulated2D::Values config2;
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Point2 x1bad(2.0, 2.0);
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Point2 x2bad(2.0, 2.0);
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config2.insert(key1, x1bad);
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config2.insert(key2, x2bad);
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GaussianFactor::shared_ptr actual2 = constraint.linearize(config2);
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GaussianFactor::shared_ptr expected2(
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new GaussianFactor(key1, -eye(2,2), key2, eye(2,2), Vector_(2, 1.0, 1.0), hard_model));
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EXPECT(assert_equal(*expected2, *actual2, tol));
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}
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/* ************************************************************************* */
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TEST( testNonlinearEqualityConstraint, odo_simple_optimize ) {
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// create a two-node graph, connected by an odometry constraint, with
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// a hard prior on one variable, and a conflicting soft prior
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// on the other variable - the constraints should override the soft constraint
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Point2 truth_pt1(1.0, 2.0), truth_pt2(3.0, 2.0);
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simulated2D::PoseKey key1(1), key2(2);
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// hard prior on x1
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eq2D::UnaryEqualityConstraint::shared_ptr constraint1(
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new eq2D::UnaryEqualityConstraint(truth_pt1, key1));
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// soft prior on x2
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Point2 badPt(100.0, -200.0);
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simulated2D::Prior::shared_ptr factor(
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new simulated2D::Prior(badPt, soft_model, key2));
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// odometry constraint
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eq2D::OdoEqualityConstraint::shared_ptr constraint2(
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new eq2D::OdoEqualityConstraint(
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truth_pt1.between(truth_pt2), key1, key2));
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shared_graph graph(new Graph());
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graph->push_back(constraint1);
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graph->push_back(constraint2);
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graph->push_back(factor);
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shared_values initValues(new simulated2D::Values());
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initValues->insert(key1, Point2());
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initValues->insert(key2, badPt);
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Optimizer::shared_values actual = Optimizer::optimizeLM(graph, initValues);
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simulated2D::Values expected;
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expected.insert(key1, truth_pt1);
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expected.insert(key2, truth_pt2);
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CHECK(assert_equal(expected, *actual, tol));
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}
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/* ********************************************************************* */
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TEST (testNonlinearEqualityConstraint, two_pose ) {
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/*
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* Determining a ground truth linear system
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* with two poses seeing one landmark, with each pose
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* constrained to a particular value
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*/
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shared_graph graph(new Graph());
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simulated2D::PoseKey x1(1), x2(2);
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simulated2D::PointKey l1(1), l2(2);
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Point2 pt_x1(1.0, 1.0),
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pt_x2(5.0, 6.0);
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graph->add(eq2D::UnaryEqualityConstraint(pt_x1, x1));
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graph->add(eq2D::UnaryEqualityConstraint(pt_x2, x2));
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Point2 z1(0.0, 5.0);
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SharedGaussian sigma(noiseModel::Isotropic::Sigma(2, 0.1));
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graph->add(simulated2D::Measurement(z1, sigma, x1,l1));
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Point2 z2(-4.0, 0.0);
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graph->add(simulated2D::Measurement(z2, sigma, x2,l2));
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graph->add(eq2D::PointEqualityConstraint(l1, l2));
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shared_values initialEstimate(new simulated2D::Values());
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initialEstimate->insert(x1, pt_x1);
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initialEstimate->insert(x2, Point2());
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initialEstimate->insert(l1, Point2(1.0, 6.0)); // ground truth
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initialEstimate->insert(l2, Point2(-4.0, 0.0)); // starting with a separate reference frame
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Optimizer::shared_values actual = Optimizer::optimizeLM(graph, initialEstimate);
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simulated2D::Values expected;
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expected.insert(x1, pt_x1);
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expected.insert(l1, Point2(1.0, 6.0));
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expected.insert(l2, Point2(1.0, 6.0));
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expected.insert(x2, Point2(5.0, 6.0));
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CHECK(assert_equal(expected, *actual, 1e-5));
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}
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/* ********************************************************************* */
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TEST (testNonlinearEqualityConstraint, map_warp ) {
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// get a graph
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shared_graph graph(new Graph());
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// keys
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simulated2D::PoseKey x1(1), x2(2);
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simulated2D::PointKey l1(1), l2(2);
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// constant constraint on x1
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Point2 pose1(1.0, 1.0);
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graph->add(eq2D::UnaryEqualityConstraint(pose1, x1));
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SharedDiagonal sigma = noiseModel::Isotropic::Sigma(1,0.1);
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// measurement from x1 to l1
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Point2 z1(0.0, 5.0);
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graph->add(simulated2D::Measurement(z1, sigma, x1, l1));
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// measurement from x2 to l2
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Point2 z2(-4.0, 0.0);
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graph->add(simulated2D::Measurement(z2, sigma, x2, l2));
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// equality constraint between l1 and l2
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graph->add(eq2D::PointEqualityConstraint(l1, l2));
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// create an initial estimate
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shared_values initialEstimate(new simulated2D::Values());
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initialEstimate->insert(x1, Point2( 1.0, 1.0));
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initialEstimate->insert(l1, Point2( 1.0, 6.0));
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initialEstimate->insert(l2, Point2(-4.0, 0.0)); // starting with a separate reference frame
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initialEstimate->insert(x2, Point2( 0.0, 0.0)); // other pose starts at origin
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// optimize
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Optimizer::shared_values actual = Optimizer::optimizeLM(graph, initialEstimate);
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simulated2D::Values expected;
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expected.insert(x1, Point2(1.0, 1.0));
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expected.insert(l1, Point2(1.0, 6.0));
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expected.insert(l2, Point2(1.0, 6.0));
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expected.insert(x2, Point2(5.0, 6.0));
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CHECK(assert_equal(expected, *actual, tol));
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}
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// make a realistic calibration matrix
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double fov = 60; // degrees
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size_t w=640,h=480;
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Cal3_S2 K(fov,w,h);
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boost::shared_ptr<Cal3_S2> shK(new Cal3_S2(K));
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// typedefs for visual SLAM example
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typedef visualSLAM::Values VValues;
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typedef boost::shared_ptr<VValues> shared_vconfig;
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typedef visualSLAM::Graph VGraph;
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typedef NonlinearOptimizer<VGraph,VValues> VOptimizer;
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// factors for visual slam
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typedef NonlinearEquality2<VValues, visualSLAM::PointKey> Point3Equality;
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/* ********************************************************************* */
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TEST (testNonlinearEqualityConstraint, stereo_constrained ) {
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// create initial estimates
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Rot3 faceDownY(Matrix_(3,3,
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1.0, 0.0, 0.0,
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0.0, 0.0, 1.0,
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0.0, 1.0, 0.0));
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Pose3 pose1(faceDownY, Point3()); // origin, left camera
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SimpleCamera camera1(K, pose1);
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Pose3 pose2(faceDownY, Point3(2.0, 0.0, 0.0)); // 2 units to the left
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SimpleCamera camera2(K, pose2);
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Point3 landmark(1.0, 5.0, 0.0); //centered between the cameras, 5 units away
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// keys
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visualSLAM::PoseKey x1(1), x2(2);
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visualSLAM::PointKey l1(1), l2(2);
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// create graph
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VGraph::shared_graph graph(new VGraph());
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// create equality constraints for poses
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graph->addPoseConstraint(1, camera1.pose());
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graph->addPoseConstraint(2, camera2.pose());
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// create factors
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SharedDiagonal vmodel = noiseModel::Unit::Create(3);
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graph->addMeasurement(camera1.project(landmark), vmodel, 1, 1, shK);
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graph->addMeasurement(camera2.project(landmark), vmodel, 2, 2, shK);
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// add equality constraint
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graph->add(Point3Equality(l1, l2));
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// create initial data
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Point3 landmark1(0.5, 5.0, 0.0);
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Point3 landmark2(1.5, 5.0, 0.0);
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shared_vconfig initValues(new VValues());
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initValues->insert(x1, pose1);
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initValues->insert(x2, pose2);
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initValues->insert(l1, landmark1);
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initValues->insert(l2, landmark2);
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// optimize
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VOptimizer::shared_values actual = VOptimizer::optimizeLM(graph, initValues);
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// create config
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VValues truthValues;
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truthValues.insert(x1, camera1.pose());
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truthValues.insert(x2, camera2.pose());
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truthValues.insert(l1, landmark);
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truthValues.insert(l2, landmark);
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// check if correct
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CHECK(assert_equal(truthValues, *actual, 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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