/** * @file testNonlinearFactor.cpp * @brief Unit tests for Non-Linear Factor, * create a non linear factor graph and a configuration for it and * calculate the error for the factor. * @author Christian Potthast **/ /*STL/C++*/ #include #include #include "Matrix.h" #include "smallExample.h" using namespace std; using namespace gtsam; typedef boost::shared_ptr > shared_nlf; /* ************************************************************************* */ TEST( NonLinearFactor, NonlinearFactor ) { // create a non linear factor graph ExampleNonlinearFactorGraph fg = createNonlinearFactorGraph(); // create a configuration for the non linear factor graph FGConfig cfg = createNoisyConfig(); // get the factor "f1" from the factor graph shared_nlf factor = fg[0]; // calculate the error_vector from the factor "f1" Vector actual_e = factor->error_vector(cfg); Vector e(2); e(0) = -0.1; e(1) = -0.1; CHECK(assert_equal(e,actual_e)); // the expected value for the error from the factor // error_vector / sigma = [0.1 0.1]/0.1 = [1;1] // error = 0.5 * [1 1] * [1;1] = 1 double expected = 1.0; // calculate the error from the factor "f1" double actual = factor->error(cfg); DOUBLES_EQUAL(expected,actual,0.00000001); } /* ************************************************************************* */ TEST( NonLinearFactor, linearize_f1 ) { // Grab a non-linear factor ExampleNonlinearFactorGraph nfg = createNonlinearFactorGraph(); boost::shared_ptr nlf = boost::static_pointer_cast(nfg[0]); // We linearize at noisy config from SmallExample FGConfig c = createNoisyConfig(); LinearFactor::shared_ptr actual = nlf->linearize(c); LinearFactorGraph lfg = createLinearFactorGraph(); LinearFactor::shared_ptr expected = lfg[0]; CHECK(expected->equals(*actual)); } /* ************************************************************************* */ TEST( NonLinearFactor, linearize_f2 ) { // Grab a non-linear factor ExampleNonlinearFactorGraph nfg = createNonlinearFactorGraph(); boost::shared_ptr nlf = boost::static_pointer_cast(nfg[1]); // We linearize at noisy config from SmallExample FGConfig c = createNoisyConfig(); LinearFactor::shared_ptr actual = nlf->linearize(c); LinearFactorGraph lfg = createLinearFactorGraph(); LinearFactor::shared_ptr expected = lfg[1]; CHECK(expected->equals(*actual)); } /* ************************************************************************* */ TEST( NonLinearFactor, linearize_f3 ) { // Grab a non-linear factor ExampleNonlinearFactorGraph nfg = createNonlinearFactorGraph(); boost::shared_ptr nlf = boost::static_pointer_cast(nfg[2]); // We linearize at noisy config from SmallExample FGConfig c = createNoisyConfig(); LinearFactor::shared_ptr actual = nlf->linearize(c); LinearFactorGraph lfg = createLinearFactorGraph(); LinearFactor::shared_ptr expected = lfg[2]; CHECK(expected->equals(*actual)); } /* ************************************************************************* */ TEST( NonLinearFactor, linearize_f4 ) { // Grab a non-linear factor ExampleNonlinearFactorGraph nfg = createNonlinearFactorGraph(); boost::shared_ptr nlf = boost::static_pointer_cast(nfg[3]); // We linearize at noisy config from SmallExample FGConfig c = createNoisyConfig(); LinearFactor::shared_ptr actual = nlf->linearize(c); LinearFactorGraph lfg = createLinearFactorGraph(); LinearFactor::shared_ptr expected = lfg[3]; CHECK(expected->equals(*actual)); } /* ************************************************************************* */ TEST( NonLinearFactor, size ) { // create a non linear factor graph ExampleNonlinearFactorGraph fg = createNonlinearFactorGraph(); // create a configuration for the non linear factor graph FGConfig cfg = createNoisyConfig(); // get some factors from the graph shared_nlf factor1 = fg[0]; shared_nlf factor2 = fg[1]; shared_nlf factor3 = fg[2]; CHECK(factor1->size() == 1); CHECK(factor2->size() == 2); CHECK(factor3->size() == 2); } /* ************************************************************************* */ int main() { TestResult tr; return TestRegistry::runAllTests(tr);} /* ************************************************************************* */