gtsam/cpp/testISAM.cpp

/**
 * @file    testISAM.cpp
 * @brief   Unit tests for ISAM
 * @author  Michael Kaess
 */

#include <boost/foreach.hpp>
#include <boost/assign/std/list.hpp> // for operator +=
using namespace boost::assign;

#include <CppUnitLite/TestHarness.h>

#include "SymbolicBayesNet.h"
#include "SymbolicFactorGraph.h"
#include "Ordering.h"
#include "GaussianBayesNet.h"
#include "ISAM-inl.h"
#include "smallExample.h"

using namespace std;
using namespace gtsam;

typedef ISAM<SymbolicConditional> SymbolicISAM;

/* ************************************************************************* */
// Some numbers that should be consistent among all smoother tests

double sigmax1 = 0.786153, sigmax2 = 0.687131, sigmax3 = 0.671512, sigmax4 =
		0.669534, sigmax5 = sigmax3, sigmax6 = sigmax2, sigmax7 = sigmax1;

/* ************************************************************************* */

// SLAM example from RSS sqrtSAM paper
SymbolicConditional::shared_ptr x3(new SymbolicConditional("x3")),
		x2(new SymbolicConditional("x2","x3")),
		x1(new SymbolicConditional("x1","x2","x3")),
		l1(new SymbolicConditional("l1","x1","x2")),
		l2(new SymbolicConditional("l2","x1","x3"));

// ISAM for sqrtSAM example
SymbolicISAM createSlamSymbolicISAM(){
	// Create using insert
	SymbolicISAM bayesTree_slam;
	bayesTree_slam.insert(x3);
	bayesTree_slam.insert(x2);
	bayesTree_slam.insert(x1);
	bayesTree_slam.insert(l2);
	bayesTree_slam.insert(l1);
	return bayesTree_slam;
}

/* ************************************************************************* */

// Conditionals for ASIA example from the tutorial with A and D evidence
SymbolicConditional::shared_ptr
	B(new SymbolicConditional("B")),
	L(new SymbolicConditional("L", "B")),
	E(new SymbolicConditional("E", "B", "L")),
	S(new SymbolicConditional("S", "L", "B")),
	T(new SymbolicConditional("T", "E", "L")),
	X(new SymbolicConditional("X", "E"));

// ISAM for Asia example
SymbolicISAM createAsiaSymbolicISAM() {
	SymbolicISAM bayesTree;
	bayesTree.insert(B);
	bayesTree.insert(L);
	bayesTree.insert(E);
	bayesTree.insert(S);
	bayesTree.insert(T);
	bayesTree.insert(X);
	return bayesTree;
}

/* ************************************************************************* */
TEST( ISAM, iSAM )
{
	SymbolicISAM bayesTree = createAsiaSymbolicISAM();

	// Now we modify the Bayes tree by inserting a new factor over B and S

	// New conditionals in modified top of the tree
	SymbolicConditional::shared_ptr
		S_(new SymbolicConditional("S")),
		L_(new SymbolicConditional("L", "S")),
		E_(new SymbolicConditional("E", "L", "S")),
		B_(new SymbolicConditional("B", "E", "L", "S"));

	// Create expected Bayes tree
	SymbolicISAM expected;
	expected.insert(S_);
	expected.insert(L_);
	expected.insert(E_);
	expected.insert(B_);
	expected.insert(T);
	expected.insert(X);

	// create new factors to be inserted
	SymbolicFactorGraph factorGraph;
	factorGraph.push_factor("B","S");
	factorGraph.push_factor("B");

	// do incremental inference
	bayesTree.update(factorGraph);

	// Check whether the same
  CHECK(assert_equal(expected,bayesTree));
}

/* ************************************************************************* */
TEST( ISAM, iSAM_slam )
{
	// Create using insert
	SymbolicISAM bayesTree_slam = createSlamSymbolicISAM();

	//New conditionals for the expected Bayes tree
	SymbolicConditional::shared_ptr
			l1_(new SymbolicConditional("l1","x1","x2","x3"));

	// Create expected Bayes tree
	SymbolicISAM expected_slam;
	expected_slam.insert(x3);
	expected_slam.insert(x2);
	expected_slam.insert(x1);
	expected_slam.insert(l1_);
	expected_slam.insert(l2);


	// create new factors to be inserted
	SymbolicFactorGraph factorGraph_slam;
	factorGraph_slam.push_factor("x3","l1");
	factorGraph_slam.push_factor("x3");

	// do incremental inference
	bayesTree_slam.update(factorGraph_slam);

	// Check whether the same
	CHECK(assert_equal(expected_slam,bayesTree_slam));
}

/* ************************************************************************* */
int main() { TestResult tr; return TestRegistry::runAllTests(tr);}
/* ************************************************************************* */