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Fixed testVisualSLAM so that it now passes

release/4.3a0
Alex Cunningham 2012-06-24 18:55:09 +00:00
parent 1bf3ae51a9
commit 2be56fa84e
1 changed files with 22 additions and 22 deletions
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44
gtsam/slam/tests/testVisualSLAM.cpp
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@ -73,10 +73,10 @@ visualSLAM::Graph testGraph() {
g.addMeasurement(z12, sigma, X(1), L(2), sK);
g.addMeasurement(z13, sigma, X(1), L(3), sK);
g.addMeasurement(z14, sigma, X(1), L(4), sK);
g.addMeasurement(z21, sigma, X(1), L(1), sK);
g.addMeasurement(z22, sigma, X(1), L(2), sK);
g.addMeasurement(z23, sigma, X(1), L(3), sK);
g.addMeasurement(z24, sigma, X(1), L(4), sK);
g.addMeasurement(z21, sigma, X(2), L(1), sK);
g.addMeasurement(z22, sigma, X(2), L(2), sK);
g.addMeasurement(z23, sigma, X(2), L(3), sK);
g.addMeasurement(z24, sigma, X(2), L(4), sK);
return g;
}
@ -93,7 +93,7 @@ TEST( VisualSLAM, optimizeLM)
// Create an initial values structure corresponding to the ground truth
Values initialEstimate;
initialEstimate.insert(X(1), camera1);
initialEstimate.insert(X(1), camera2);
initialEstimate.insert(X(2), camera2);
initialEstimate.insert(L(1), landmark1);
initialEstimate.insert(L(2), landmark2);
initialEstimate.insert(L(3), landmark3);
@ -101,7 +101,7 @@ TEST( VisualSLAM, optimizeLM)
// Create an ordering of the variables
Ordering ordering;
ordering += L(1),L(2),L(3),L(4),X(1),X(1);
ordering += L(1),L(2),L(3),L(4),X(1),X(2);
// Create an optimizer and check its error
// We expect the initial to be zero because config is the ground truth
@ -125,12 +125,12 @@ TEST( VisualSLAM, optimizeLM2)
visualSLAM::Graph graph(testGraph());
// add 2 camera constraints
graph.addPoseConstraint(X(1), camera1);
graph.addPoseConstraint(X(1), camera2);
graph.addPoseConstraint(X(2), camera2);
// Create an initial values structure corresponding to the ground truth
Values initialEstimate;
initialEstimate.insert(X(1), camera1);
initialEstimate.insert(X(1), camera2);
initialEstimate.insert(X(2), camera2);
initialEstimate.insert(L(1), landmark1);
initialEstimate.insert(L(2), landmark2);
initialEstimate.insert(L(3), landmark3);
@ -138,17 +138,17 @@ TEST( VisualSLAM, optimizeLM2)
// Create an ordering of the variables
Ordering ordering;
ordering += L(1),L(2),L(3),L(4),X(1),X(1);
ordering += L(1),L(2),L(3),L(4),X(1),X(2);
// Create an optimizer and check its error
// We expect the initial to be zero because config is the ground truth
LevenbergMarquardtOptimizer optimizer(graph, initialEstimate, ordering);
DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
EXPECT_DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
// Iterate once, and the config should not have changed because we started
// with the ground truth
optimizer.iterate();
DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
EXPECT_DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
// check if correct
CHECK(assert_equal(initialEstimate, optimizer.values()));
@ -161,12 +161,12 @@ TEST( VisualSLAM, LMoptimizer)
visualSLAM::Graph graph(testGraph());
// add 2 camera constraints
graph.addPoseConstraint(X(1), camera1);
graph.addPoseConstraint(X(1), camera2);
graph.addPoseConstraint(X(2), camera2);
// Create an initial values structure corresponding to the ground truth
Values initialEstimate;
initialEstimate.insert(X(1), camera1);
initialEstimate.insert(X(1), camera2);
initialEstimate.insert(X(2), camera2);
initialEstimate.insert(L(1), landmark1);
initialEstimate.insert(L(2), landmark2);
initialEstimate.insert(L(3), landmark3);
@ -175,12 +175,12 @@ TEST( VisualSLAM, LMoptimizer)
// Create an optimizer and check its error
// We expect the initial to be zero because config is the ground truth
LevenbergMarquardtOptimizer optimizer = graph.optimizer(initialEstimate);
DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
EXPECT_DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
// Iterate once, and the config should not have changed because we started
// with the ground truth
optimizer.iterate();
DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
EXPECT_DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
// check if correct
CHECK(assert_equal(initialEstimate, optimizer.values()));
@ -194,12 +194,12 @@ TEST( VisualSLAM, CHECK_ORDERING)
visualSLAM::Graph graph = testGraph();
// add 2 camera constraints
graph.addPoseConstraint(X(1), camera1);
graph.addPoseConstraint(X(1), camera2);
graph.addPoseConstraint(X(2), camera2);
// Create an initial values structure corresponding to the ground truth
Values initialEstimate;
initialEstimate.insert(X(1), camera1);
initialEstimate.insert(X(1), camera2);
initialEstimate.insert(X(2), camera2);
initialEstimate.insert(L(1), landmark1);
initialEstimate.insert(L(2), landmark2);
initialEstimate.insert(L(3), landmark3);
@ -208,12 +208,12 @@ TEST( VisualSLAM, CHECK_ORDERING)
// Create an optimizer and check its error
// We expect the initial to be zero because config is the ground truth
LevenbergMarquardtOptimizer optimizer(graph, initialEstimate);
DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
EXPECT_DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
// Iterate once, and the config should not have changed because we started
// with the ground truth
optimizer.iterate();
DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
EXPECT_DOUBLES_EQUAL(0.0, optimizer.error(), 1e-9);
// check if correct
CHECK(assert_equal(initialEstimate, optimizer.values()));
@ -233,12 +233,12 @@ TEST( VisualSLAM, update_with_large_delta) {
Ordering largeOrdering;
Values largeValues = init;
largeValues.insert(X(1), Pose3());
largeOrdering += X(1),L(1),X(1);
largeValues.insert(X(2), Pose3());
largeOrdering += X(1),L(1),X(2);
VectorValues delta(largeValues.dims(largeOrdering));
delta[largeOrdering[X(1)]] = Vector_(6, 0.0, 0.0, 0.0, 0.1, 0.1, 0.1);
delta[largeOrdering[L(1)]] = Vector_(3, 0.1, 0.1, 0.1);
delta[largeOrdering[X(1)]] = Vector_(6, 0.0, 0.0, 0.0, 100.1, 4.1, 9.1);
delta[largeOrdering[X(2)]] = Vector_(6, 0.0, 0.0, 0.0, 100.1, 4.1, 9.1);
Values actual = init.retract(delta, largeOrdering);
CHECK(assert_equal(expected,actual));