2009-12-18 09:24:28 +08:00
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/**
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* @file testPose3Pose.cpp
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* @brief Unit tests for Pose3Factor Class
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* @authors Frank Dellaert
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**/
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#include <iostream>
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2010-01-10 21:55:55 +08:00
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#include <boost/assign/std/list.hpp>
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using namespace boost::assign;
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2010-01-11 02:21:20 +08:00
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2009-12-18 09:24:28 +08:00
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#include <CppUnitLite/TestHarness.h>
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2010-01-17 03:37:17 +08:00
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#include "pose3SLAM.h"
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2009-12-18 09:24:28 +08:00
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using namespace std;
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using namespace gtsam;
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2010-01-08 23:32:45 +08:00
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/* ************************************************************************* */
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2010-01-10 21:55:55 +08:00
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TEST( Pose3Factor, error )
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2009-12-18 09:24:28 +08:00
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{
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2010-01-10 21:55:55 +08:00
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// Create example
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Pose3 t1; // origin
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Pose3 t2(rodriguez(0.1,0.2,0.3),Point3(0,1,0));
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Pose3 z(rodriguez(0.2,0.2,0.3),Point3(0,1.1,0));;
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// Create factor
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2010-01-23 01:36:57 +08:00
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SharedGaussian I6(noiseModel::Unit::Create(6));
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2010-01-18 13:38:53 +08:00
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Pose3Factor factor(1,2, z, I6);
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2010-01-10 21:55:55 +08:00
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// Create config
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Pose3Config x;
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Large gtsam refactoring
To support faster development *and* better performance Richard and I pushed through a large refactoring of NonlinearFactors.
The following are the biggest changes:
1) NonLinearFactor1 and NonLinearFactor2 are now templated on Config, Key type, and X type, where X is the argument to the measurement function.
2) The measurement itself is no longer kept in the nonlinear factor. Instead, a derived class (see testVSLAMFactor, testNonlinearEquality, testPose3Factor etc...) has to implement a function to compute the errors, "evaluateErrors". Instead of (h(x)-z), it needs to return (z-h(x)), so Ax-b is an approximation of the error. IMPORTANT: evaluateErrors needs - if asked - *combine* the calculation of the function value h(x) and the derivatives dh(x)/dx. This was a major performance issue. To do this, boost::optional<Matrix&> arguments are provided, and tin EvaluateErrors you just says something like
if (H) *H = Matrix_(3,6,....);
3) We are no longer using int or strings for nonlinear factors. Instead, the preferred key type is now Symbol, defined in Key.h. This is both fast and cool: you can construct it from an int, and cast it to a strong. It also does type checking: a Symbol<Pose3,'x'> will not match a Symbol<Pose2,'x'>
4) minor: take a look at LieConfig.h: it help you avoid writing a lot of code bu automatically creating configs for a certain type. See e.g. Pose3Config.h. A "double" LieConfig is on the way - Thanks Richard and Manohar !
2010-01-14 06:25:03 +08:00
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x.insert(1,t1);
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x.insert(2,t2);
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2010-01-10 21:55:55 +08:00
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Large gtsam refactoring
To support faster development *and* better performance Richard and I pushed through a large refactoring of NonlinearFactors.
The following are the biggest changes:
1) NonLinearFactor1 and NonLinearFactor2 are now templated on Config, Key type, and X type, where X is the argument to the measurement function.
2) The measurement itself is no longer kept in the nonlinear factor. Instead, a derived class (see testVSLAMFactor, testNonlinearEquality, testPose3Factor etc...) has to implement a function to compute the errors, "evaluateErrors". Instead of (h(x)-z), it needs to return (z-h(x)), so Ax-b is an approximation of the error. IMPORTANT: evaluateErrors needs - if asked - *combine* the calculation of the function value h(x) and the derivatives dh(x)/dx. This was a major performance issue. To do this, boost::optional<Matrix&> arguments are provided, and tin EvaluateErrors you just says something like
if (H) *H = Matrix_(3,6,....);
3) We are no longer using int or strings for nonlinear factors. Instead, the preferred key type is now Symbol, defined in Key.h. This is both fast and cool: you can construct it from an int, and cast it to a strong. It also does type checking: a Symbol<Pose3,'x'> will not match a Symbol<Pose2,'x'>
4) minor: take a look at LieConfig.h: it help you avoid writing a lot of code bu automatically creating configs for a certain type. See e.g. Pose3Config.h. A "double" LieConfig is on the way - Thanks Richard and Manohar !
2010-01-14 06:25:03 +08:00
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// Get error h(x)-z -> logmap(z,h(x)) = logmap(z,between(t1,t2))
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2010-01-18 13:38:53 +08:00
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Vector actual = factor.unwhitenedError(x);
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Large gtsam refactoring
To support faster development *and* better performance Richard and I pushed through a large refactoring of NonlinearFactors.
The following are the biggest changes:
1) NonLinearFactor1 and NonLinearFactor2 are now templated on Config, Key type, and X type, where X is the argument to the measurement function.
2) The measurement itself is no longer kept in the nonlinear factor. Instead, a derived class (see testVSLAMFactor, testNonlinearEquality, testPose3Factor etc...) has to implement a function to compute the errors, "evaluateErrors". Instead of (h(x)-z), it needs to return (z-h(x)), so Ax-b is an approximation of the error. IMPORTANT: evaluateErrors needs - if asked - *combine* the calculation of the function value h(x) and the derivatives dh(x)/dx. This was a major performance issue. To do this, boost::optional<Matrix&> arguments are provided, and tin EvaluateErrors you just says something like
if (H) *H = Matrix_(3,6,....);
3) We are no longer using int or strings for nonlinear factors. Instead, the preferred key type is now Symbol, defined in Key.h. This is both fast and cool: you can construct it from an int, and cast it to a strong. It also does type checking: a Symbol<Pose3,'x'> will not match a Symbol<Pose2,'x'>
4) minor: take a look at LieConfig.h: it help you avoid writing a lot of code bu automatically creating configs for a certain type. See e.g. Pose3Config.h. A "double" LieConfig is on the way - Thanks Richard and Manohar !
2010-01-14 06:25:03 +08:00
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Vector expected = logmap(z,between(t1,t2));
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2010-01-10 21:55:55 +08:00
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CHECK(assert_equal(expected,actual));
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2009-12-18 09:24:28 +08:00
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}
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/* ************************************************************************* */
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int main() {
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TestResult tr;
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return TestRegistry::runAllTests(tr);
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}
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/* ************************************************************************* */
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