145 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			145 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			C++
		
	
	
| /**
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|  * @file    testISAM.cpp
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|  * @brief   Unit tests for ISAM
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|  * @author  Michael Kaess
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|  */
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| 
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| #include <boost/foreach.hpp>
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| #include <boost/assign/std/list.hpp> // for operator +=
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| using namespace boost::assign;
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| 
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| #include <CppUnitLite/TestHarness.h>
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| 
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| #define GTSAM_MAGIC_KEY
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| 
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| #include "SymbolicBayesNet.h"
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| #include "SymbolicFactorGraph.h"
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| #include "Ordering.h"
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| #include "GaussianBayesNet.h"
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| #include "ISAM-inl.h"
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| #include "smallExample.h"
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| 
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| using namespace std;
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| using namespace gtsam;
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| 
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| typedef ISAM<SymbolicConditional> SymbolicISAM;
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| 
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| /* ************************************************************************* */
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| // Some numbers that should be consistent among all smoother tests
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| 
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| double sigmax1 = 0.786153, sigmax2 = 0.687131, sigmax3 = 0.671512, sigmax4 =
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| 		0.669534, sigmax5 = sigmax3, sigmax6 = sigmax2, sigmax7 = sigmax1;
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| 
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| /* ************************************************************************* *
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| 
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| // SLAM example from RSS sqrtSAM paper
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| SymbolicConditional::shared_ptr x3(new SymbolicConditional("x3")),
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| 		x2(new SymbolicConditional("x2","x3")),
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| 		x1(new SymbolicConditional("x1","x2","x3")),
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| 		l1(new SymbolicConditional("l1","x1","x2")),
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| 		l2(new SymbolicConditional("l2","x1","x3"));
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| 
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| // ISAM for sqrtSAM example
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| SymbolicISAM createSlamSymbolicISAM(){
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| 	// Create using insert
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| 	SymbolicISAM bayesTree_slam;
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| 	bayesTree_slam.insert(x3);
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| 	bayesTree_slam.insert(x2);
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| 	bayesTree_slam.insert(x1);
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| 	bayesTree_slam.insert(l2);
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| 	bayesTree_slam.insert(l1);
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| 	return bayesTree_slam;
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| }
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| 
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| /* ************************************************************************* *
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| 
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| // Conditionals for ASIA example from the tutorial with A and D evidence
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| SymbolicConditional::shared_ptr
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| 	B(new SymbolicConditional("B")),
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| 	L(new SymbolicConditional("L", "B")),
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| 	E(new SymbolicConditional("E", "B", "L")),
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| 	S(new SymbolicConditional("S", "L", "B")),
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| 	T(new SymbolicConditional("T", "E", "L")),
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| 	X(new SymbolicConditional("X", "E"));
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| 
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| // ISAM for Asia example
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| SymbolicISAM createAsiaSymbolicISAM() {
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| 	SymbolicISAM bayesTree;
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| 	bayesTree.insert(B);
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| 	bayesTree.insert(L);
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| 	bayesTree.insert(E);
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| 	bayesTree.insert(S);
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| 	bayesTree.insert(T);
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| 	bayesTree.insert(X);
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| 	return bayesTree;
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| }
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| 
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| /* ************************************************************************* *
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| TEST( ISAM, iSAM )
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| {
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| 	SymbolicISAM bayesTree = createAsiaSymbolicISAM();
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| 
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| 	// Now we modify the Bayes tree by inserting a new factor over B and S
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| 
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| 	// New conditionals in modified top of the tree
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| 	SymbolicConditional::shared_ptr
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| 		S_(new SymbolicConditional("S")),
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| 		B_(new SymbolicConditional("B", "S")),
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| 		L_(new SymbolicConditional("L", "B", "S"));
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| 
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| 	// Create expected Bayes tree
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| 	SymbolicISAM expected;
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| 	expected.insert(S_);
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| 	expected.insert(B_);
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| 	expected.insert(L_);
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| 	expected.insert(E);
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| 	expected.insert(T);
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| 	expected.insert(X);
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| 
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| 	// create new factors to be inserted
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| 	SymbolicFactorGraph factorGraph;
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| 	factorGraph.push_factor("B","S");
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| 	factorGraph.push_factor("B");
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| 
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| 	// do incremental inference
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| 	bayesTree.update(factorGraph);
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| 
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| 	// Check whether the same
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|   CHECK(assert_equal(expected,bayesTree));
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| }
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| 
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| /* ************************************************************************* *
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| TEST( ISAM, iSAM_slam )
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| {
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| 	// Create using insert
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| 	SymbolicISAM bayesTree_slam = createSlamSymbolicISAM();
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| 
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| 	//New conditionals for the expected Bayes tree
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| 	SymbolicConditional::shared_ptr
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| 			l1_(new SymbolicConditional("l1","x1","x2","x3"));
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| 
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| 	// Create expected Bayes tree
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| 	SymbolicISAM expected_slam;
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| 	expected_slam.insert(x3);
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| 	expected_slam.insert(x2);
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| 	expected_slam.insert(x1);
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| 	expected_slam.insert(l1_);
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| 	expected_slam.insert(l2);
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| 
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| 
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| 	// create new factors to be inserted
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| 	SymbolicFactorGraph factorGraph_slam;
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| 	factorGraph_slam.push_factor("x3","l1");
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| 	factorGraph_slam.push_factor("x3");
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| 
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| 	// do incremental inference
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| 	bayesTree_slam.update(factorGraph_slam);
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| 
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| 	// Check whether the same
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| 	CHECK(assert_equal(expected_slam,bayesTree_slam));
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| }
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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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