2009-08-22 06:23:24 +08:00
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/**
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* @file simulated2D.cpp
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* @brief measurement functions and derivatives for simulated 2D robot
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* @author Frank Dellaert
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*/
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#include "simulated2D.h"
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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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namespace simulated2D {
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2009-08-22 06:23:24 +08:00
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/** prior on a single pose */
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/* ************************************************************************* */
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Vector prior (const Vector& x) {return x;}
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/* ************************************************************************* */
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Matrix Dprior(const Vector& x) {
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Matrix H(2,2);
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H(0,0)=1; H(0,1)=0;
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H(1,0)=0; H(1,1)=1;
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return H;
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}
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/* ************************************************************************* */
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/** odometry between two poses */
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/* ************************************************************************* */
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Vector odo(const Vector& x1, const Vector& x2) {return x2 - x1;}
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Matrix Dodo1(const Vector& x1, const Vector& x2) {
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Matrix H(2,2);
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H(0,0)=-1; H(0,1)= 0;
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H(1,0)= 0; H(1,1)=-1;
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return H;
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}
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/* ************************************************************************* */
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Matrix Dodo2(const Vector& x1, const Vector& x2) {
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Matrix H(2,2);
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H(0,0)= 1; H(0,1)= 0;
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H(1,0)= 0; H(1,1)= 1;
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return H;
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}
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/* ************************************************************************* */
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/** measurement between landmark and pose */
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/* ************************************************************************* */
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Vector mea(const Vector& x, const Vector& l) {return l - x;}
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Matrix Dmea1(const Vector& x, const Vector& l) {
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Matrix H(2,2);
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H(0,0)=-1; H(0,1)= 0;
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H(1,0)= 0; H(1,1)=-1;
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return H;
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}
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/* ************************************************************************* */
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Matrix Dmea2(const Vector& x, const Vector& l) {
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Matrix H(2,2);
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H(0,0)= 1; H(0,1)= 0;
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H(1,0)= 0; H(1,1)= 1;
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return H;
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}
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/* ************************************************************************* */
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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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} // namespace simulated2D
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