Added unit test for issue 561
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@ -10,20 +10,24 @@
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* -------------------------------------------------------------------------- */
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/*
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* @file testOrientedPlane3.cpp
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* @file testOrientedPlane3Factor.cpp
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* @date Dec 19, 2012
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* @author Alex Trevor
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* @brief Tests the OrientedPlane3Factor class
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*/
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#include <gtsam/slam/OrientedPlane3Factor.h>
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#include <gtsam/nonlinear/ISAM2.h>
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#include <gtsam/inference/Symbol.h>
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#include <gtsam/base/numericalDerivative.h>
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#include <gtsam/inference/Symbol.h>
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#include <gtsam/nonlinear/GaussNewtonOptimizer.h>
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#include <gtsam/nonlinear/ISAM2.h>
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#include <CppUnitLite/TestHarness.h>
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#include <boost/bind.hpp>
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#include <boost/assign/std/vector.hpp>
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#include <boost/assign/std.hpp>
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#include <boost/bind.hpp>
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using namespace boost::assign;
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using namespace gtsam;
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@ -170,6 +174,75 @@ TEST( OrientedPlane3DirectionPrior, Constructor ) {
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EXPECT(assert_equal(expectedH3, actualH3, 1e-8));
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}
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/* ************************************************************************* */
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// Test by Marco Camurri to debug issue #561
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TEST(OrientedPlane3Factor, Issue561) {
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// Typedefs
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using symbol_shorthand::P; //< Planes
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using symbol_shorthand::X; //< Pose3 (x,y,z,r,p,y)
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using Plane = OrientedPlane3;
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NonlinearFactorGraph graph;
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// Setup prior factors
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Pose3 x0_prior(
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Rot3(0.799903913, -0.564527097, 0.203624376, 0.552537226, 0.82520195,
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0.117236322, -0.234214312, 0.0187322547, 0.972004505),
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Vector3{-91.7500013, -0.47569366, -2.2});
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auto x0_noise = noiseModel::Isotropic::Sigma(6, 0.01);
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graph.addPrior<Pose3>(X(0), x0_prior, x0_noise);
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// Plane p1_prior(0.211098835, 0.214292752, 0.95368543, 26.4269514);
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// auto p1_noise =
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// noiseModel::Diagonal::Sigmas(Vector3{0.785398163, 0.785398163, 5});
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// graph.addPrior<Plane>(P(1), p1_prior, p1_noise);
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// ADDING THIS PRIOR MAKES OPTIMIZATION FAIL
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// Plane p2_prior(0.301901811, 0.151751467, 0.941183717, 33.4388229);
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// auto p2_noise =
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// noiseModel::Diagonal::Sigmas(Vector3{0.785398163, 0.785398163, 5});
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// graph.addPrior<Plane>(P(2), p2_prior, p2_noise);
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// First plane factor
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Plane p1_meas = Plane(0.0638967294, 0.0755284627, 0.995094297, 2.55956073);
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const auto x0_p1_noise = noiseModel::Isotropic::Sigma(3, 0.0451801);
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graph.emplace_shared<OrientedPlane3Factor>(p1_meas.planeCoefficients(),
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x0_p1_noise, X(0), P(1));
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// Second plane factor
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Plane p2_meas = Plane(0.104902077, -0.0275756528, 0.994100165, 1.32765088);
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const auto x0_p2_noise = noiseModel::Isotropic::Sigma(3, 0.0322889);
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graph.emplace_shared<OrientedPlane3Factor>(p2_meas.planeCoefficients(),
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x0_p2_noise, X(0), P(2));
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// Optimize
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try {
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// Initial values
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Values initialEstimate;
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Plane p1(0.211098835, 0.214292752, 0.95368543, 26.4269514);
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Plane p2(0.301901811, 0.151751467, 0.941183717, 33.4388229);
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Pose3 x0(
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Rot3(0.799903913, -0.564527097, 0.203624376, 0.552537226, 0.82520195,
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0.117236322, -0.234214312, 0.0187322547, 0.972004505),
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Vector3{-91.7500013, -0.47569366, -2.2});
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initialEstimate.insert(P(1), p1);
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initialEstimate.insert(P(2), p2);
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initialEstimate.insert(X(0), x0);
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GaussNewtonParams params;
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GTSAM_PRINT(graph);
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Ordering ordering = list_of(P(1))(P(2))(X(0)); // make sure P1 eliminated first
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params.setOrdering(ordering);
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params.setLinearSolverType("SEQUENTIAL_QR"); // abundance of caution
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params.setVerbosity("TERMINATION"); // show info about stopping conditions
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GaussNewtonOptimizer optimizer(graph, initialEstimate);
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Values result = optimizer.optimize();
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EXPECT_DOUBLES_EQUAL(0, graph.error(result), 0.1);
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} catch (IndeterminantLinearSystemException e) {
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std::cerr << "CAPTURED THE EXCEPTION: " << e.nearbyVariable() << std::endl;
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}
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}
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/* ************************************************************************* */
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int main() {
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srand(time(nullptr));
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