unit test for regularization
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a0d0243e36
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3522e6e394
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@ -259,7 +259,7 @@ GaussianFactorGraph buildOrientationGraph(const vector<size_t>& spanningTree, co
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}
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}
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/* *************************************************************************** */
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/* *************************************************************************** */
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TEST( Lago, sumOverLoops ) {
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TEST( Lago, regularizedMeasurements ) {
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NonlinearFactorGraph g = simple::graph();
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NonlinearFactorGraph g = simple::graph();
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PredecessorMap<Key> tree = findMinimumSpanningTree<NonlinearFactorGraph, Key,
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PredecessorMap<Key> tree = findMinimumSpanningTree<NonlinearFactorGraph, Key,
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BetweenFactor<Pose2> >(g);
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BetweenFactor<Pose2> >(g);
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@ -273,12 +273,16 @@ TEST( Lago, sumOverLoops ) {
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map<Key, double> orientationsToRoot = computeThetasToRoot(keysInBinary, deltaThetaMap, tree);
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map<Key, double> orientationsToRoot = computeThetasToRoot(keysInBinary, deltaThetaMap, tree);
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GaussianFactorGraph lagoGraph = buildOrientationGraph(spanningTree, chords, g, orientationsToRoot);
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GaussianFactorGraph lagoGraph = buildOrientationGraph(spanningTree, chords, g, orientationsToRoot);
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std::pair<Matrix,Vector> actualAb = lagoGraph.jacobian();
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Vector actual = actualAb.second;
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// Vector2 expected;
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// This respects the order of the factors in the original graph
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// expected[0]= 0.0;
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Vector expected = (Vector(5) << 1.570796326794897, 1.570796326794897, 1.570796326794897, -3.141592653589793, 4.712388980384690 );
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// expected[1]= 0.0;
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// This arranges the spanning tree first and chords later
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// DOUBLES_EQUAL(expected[x0], actual[x0], 1e-6);
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Vector orderedExpected = (Vector(5) << expected[spanningTree[0]], expected[spanningTree[1]], expected[spanningTree[2]],
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// DOUBLES_EQUAL(expected[x1], actual[x1], 1e-6);
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expected[chords[0]], expected[chords[1]] );
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EXPECT(assert_equal(orderedExpected, actual, 1e-6));
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}
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}
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/* *************************************************************************** */
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/* *************************************************************************** */
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