Added parameter "RGBD/OptimizeRobust" (default true) to use Vertigo robust graph optimization (only for g2o and GTSAM optimization strategies). Added GTSAM support.

This commit is contained in:
matlabbe
2015-09-02 17:51:43 -04:00
parent a2b9c9f9a0
commit 7a721105ae
40 changed files with 2125 additions and 158 deletions

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/*
* edge_se2MaxMixture.cpp
*
* Created on: 12.06.2012
* Author: niko
*/
#include "edge_se2MaxMixture.h"
#include <GL/gl.h>
using namespace std;
using namespace Eigen;
// ================================================
EdgeSE2MaxMixture::EdgeSE2MaxMixture() : g2o::EdgeSE2::EdgeSE2()
{
nullHypothesisMoreLikely = false;
}
// ================================================
bool EdgeSE2MaxMixture::read(std::istream& is)
{
Vector3d p;
is >> weight >> p[0] >> p[1] >> p[2];
setMeasurement(g2o::SE2(p));
_inverseMeasurement = measurement().inverse();
//measurement().fromVector(p);
//inverseMeasurement() = measurement().inverse();
for (int i = 0; i < 3; ++i)
for (int j = i; j < 3; ++j) {
is >> information()(i, j);
if (i != j)
information()(j, i) = information()(i, j);
}
information_constraint = _information;
nu_constraint = 1.0/sqrt(information_constraint.inverse().determinant());
information_nullHypothesis = information_constraint*weight;
nu_nullHypothesis = 1.0/sqrt(information_nullHypothesis.inverse().determinant());
return true;
}
// ================================================
bool EdgeSE2MaxMixture::write(std::ostream& os) const
{
Vector3d p = measurement().toVector();
os << p.x() << " " << p.y() << " " << p.z();
for (int i = 0; i < 3; ++i)
for (int j = i; j < 3; ++j)
os << " " << information()(i, j);
return os.good();
}
// ================================================
void EdgeSE2MaxMixture::linearizeOplus()
{
g2o::EdgeSE2::linearizeOplus();
if (nullHypothesisMoreLikely) {
_jacobianOplusXi *= weight;
_jacobianOplusXj *= weight;
}
}
// ================================================
void EdgeSE2MaxMixture::computeError()
{
// calculate the error for this constraint
g2o::EdgeSE2::computeError();
// determine the likelihood for constraint and null hypothesis
double mahal_constraint = _error.transpose() * information_constraint * _error;
double likelihood_constraint = nu_constraint * exp(-mahal_constraint);
double mahal_nullHypothesis = _error.transpose() * (information_nullHypothesis) * _error;
double likelihood_nullHypothesis = nu_nullHypothesis * exp(-mahal_nullHypothesis);
// if the nullHypothesis is more likely ...
if (likelihood_nullHypothesis > likelihood_constraint) {
_information = information_nullHypothesis;
nullHypothesisMoreLikely = true;
}
else {
_information = information_constraint;
nullHypothesisMoreLikely = false;
}
}
// ================================================
#ifdef G2O_HAVE_OPENGL
EdgeSE2MaxMixtureDrawAction::EdgeSE2MaxMixtureDrawAction(): DrawAction(typeid(EdgeSE2MaxMixture).name()){}
g2o::HyperGraphElementAction* EdgeSE2MaxMixtureDrawAction::operator()(g2o::HyperGraph::HyperGraphElement* element,
g2o::HyperGraphElementAction::Parameters* /*params_*/){
if (typeid(*element).name()!=_typeName)
return 0;
EdgeSE2MaxMixture* e = static_cast<EdgeSE2MaxMixture*>(element);
g2o::VertexSE2* fromEdge = static_cast<g2o::VertexSE2*>(e->vertices()[0]);
g2o::VertexSE2* toEdge = static_cast<g2o::VertexSE2*>(e->vertices()[1]);
if (e->nullHypothesisMoreLikely) glColor3f(0.0,0.0,0.0);
else glColor3f(1.0,0.5,0.2);
glPushAttrib(GL_ENABLE_BIT);
glDisable(GL_LIGHTING);
glBegin(GL_LINES);
glVertex3f(fromEdge->estimate().translation().x(),fromEdge->estimate().translation().y(),0.);
glVertex3f(toEdge->estimate().translation().x(),toEdge->estimate().translation().y(),0.);
glEnd();
glPopAttrib();
return this;
}
#endif

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/*
* edge_se2MaxMixture.h
*
* Created on: 12.06.2012
* Author: niko
*/
#ifndef EDGE_SE2MAXMIXTURE_H_
#define EDGE_SE2MAXMIXTURE_H_
#include "g2o/types/slam2d/vertex_se2.h"
#include "g2o/types/slam2d/edge_se2.h"
class EdgeSE2MaxMixture : public g2o::EdgeSE2
{
public:
EdgeSE2MaxMixture();
virtual bool read(std::istream& is);
virtual bool write(std::ostream& os) const;
void computeError();
void linearizeOplus();
double weight;
bool nullHypothesisMoreLikely;
InformationType information_nullHypothesis;
double nu_nullHypothesis;
InformationType information_constraint;
double nu_constraint ;
};
#ifdef G2O_HAVE_OPENGL
class EdgeSE2MaxMixtureDrawAction: public g2o::DrawAction{
public:
EdgeSE2MaxMixtureDrawAction();
virtual g2o::HyperGraphElementAction* operator()(g2o::HyperGraph::HyperGraphElement* element,
g2o::HyperGraphElementAction::Parameters* params_);
};
#endif
#endif /* EDGE_SE2MAXMIXTURE_H_ */

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/*
* edge_se2Switchable.cpp
*
* Created on: 13.07.2011
* Author: niko
*
* Updated on: 14.01.2013
* Author: Christian Kerl <christian.kerl@in.tum.de>
*/
#include "vertigo/g2o/edge_se2Switchable.h"
#include "vertigo/g2o/vertex_switchLinear.h"
#include <GL/gl.h>
using namespace std;
using namespace Eigen;
// ================================================
EdgeSE2Switchable::EdgeSE2Switchable() : g2o::BaseMultiEdge<3, g2o::SE2>()
{
resize(3);
_jacobianOplus[0].resize(3,3);
_jacobianOplus[1].resize(3,3);
_jacobianOplus[2].resize(3,1);
}
// ================================================
bool EdgeSE2Switchable::read(std::istream& is)
{
Vector3d p;
is >> p[0] >> p[1] >> p[2];
setMeasurement(g2o::SE2(p));
_inverseMeasurement = measurement().inverse();
for (int i = 0; i < 3; ++i)
for (int j = i; j < 3; ++j) {
is >> information()(i, j);
if (i != j)
information()(j, i) = information()(i, j);
}
return true;
}
// ================================================
bool EdgeSE2Switchable::write(std::ostream& os) const
{
Vector3d p = measurement().toVector();
os << p.x() << " " << p.y() << " " << p.z();
for (int i = 0; i < 3; ++i)
for (int j = i; j < 3; ++j)
os << " " << information()(i, j);
return os.good();
}
// ================================================
void EdgeSE2Switchable::linearizeOplus()
{
const g2o::VertexSE2* vi = static_cast<const g2o::VertexSE2*>(_vertices[0]);
const g2o::VertexSE2* vj = static_cast<const g2o::VertexSE2*>(_vertices[1]);
const VertexSwitchLinear* vSwitch = static_cast<const VertexSwitchLinear*>(_vertices[2]);
double thetai = vi->estimate().rotation().angle();
Vector2d dt = vj->estimate().translation() - vi->estimate().translation();
double si=sin(thetai), ci=cos(thetai);
_jacobianOplus[0](0, 0) = -ci; _jacobianOplus[0](0, 1) = -si; _jacobianOplus[0](0, 2) = -si*dt.x()+ci*dt.y();
_jacobianOplus[0](1, 0) = si; _jacobianOplus[0](1, 1) = -ci; _jacobianOplus[0](1, 2) = -ci*dt.x()-si*dt.y();
_jacobianOplus[0](2, 0) = 0; _jacobianOplus[0](2, 1) = 0; _jacobianOplus[0](2, 2) = -1;
_jacobianOplus[1](0, 0) = ci; _jacobianOplus[1](0, 1)= si; _jacobianOplus[1](0, 2)= 0;
_jacobianOplus[1](1, 0) =-si; _jacobianOplus[1](1, 1)= ci; _jacobianOplus[1](1, 2)= 0;
_jacobianOplus[1](2, 0) = 0; _jacobianOplus[1](2, 1)= 0; _jacobianOplus[1](2, 2)= 1;
const g2o::SE2& rmean = _inverseMeasurement;
Matrix3d z = Matrix3d::Zero();
z.block<2, 2>(0, 0) = rmean.rotation().toRotationMatrix();
z(2, 2) = 1.;
_jacobianOplus[0] = z * _jacobianOplus[0];
_jacobianOplus[1] = z * _jacobianOplus[1];
_jacobianOplus[0]*=vSwitch->estimate();
_jacobianOplus[1]*=vSwitch->estimate();
// derivative w.r.t switch vertex
_jacobianOplus[2].setZero();
g2o::SE2 delta = _inverseMeasurement * (vi->estimate().inverse()*vj->estimate());
_jacobianOplus[2] = delta.toVector() * vSwitch->gradient();
}
// ================================================
void EdgeSE2Switchable::computeError()
{
const g2o::VertexSE2* v1 = static_cast<const g2o::VertexSE2*>(_vertices[0]);
const g2o::VertexSE2* v2 = static_cast<const g2o::VertexSE2*>(_vertices[1]);
const VertexSwitchLinear* v3 = static_cast<const VertexSwitchLinear*>(_vertices[2]);
g2o::SE2 delta = _inverseMeasurement * (v1->estimate().inverse()*v2->estimate());
_error = delta.toVector() * v3->estimate();
}
#ifdef G2O_HAVE_OPENGL
EdgeSE2SwitchableDrawAction::EdgeSE2SwitchableDrawAction(): DrawAction(typeid(EdgeSE2Switchable).name()){}
g2o::HyperGraphElementAction* EdgeSE2SwitchableDrawAction::operator()(g2o::HyperGraph::HyperGraphElement* element,
g2o::HyperGraphElementAction::Parameters* /*params_*/){
if (typeid(*element).name()!=_typeName)
return 0;
EdgeSE2Switchable* e = static_cast<EdgeSE2Switchable*>(element);
g2o::VertexSE2* fromEdge = static_cast<g2o::VertexSE2*>(e->vertices()[0]);
g2o::VertexSE2* toEdge = static_cast<g2o::VertexSE2*>(e->vertices()[1]);
VertexSwitchLinear* s = static_cast<VertexSwitchLinear*>(e->vertices()[2]);
glColor3f(s->estimate()*1.0,s->estimate()*0.1,s->estimate()*0.1);
glPushAttrib(GL_ENABLE_BIT);
glDisable(GL_LIGHTING);
glBegin(GL_LINES);
glVertex3f(fromEdge->estimate().translation().x(),fromEdge->estimate().translation().y(),0.);
glVertex3f(toEdge->estimate().translation().x(),toEdge->estimate().translation().y(),0.);
glEnd();
glPopAttrib();
return this;
}
#endif

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/*
* edge_se2Switchable.h
*
* Created on: 13.07.2011
* Author: niko
*
* Updated on: 14.01.2013
* Author: Christian Kerl <christian.kerl@in.tum.de>
*/
#ifndef EDGE_SE2SWITCHABLE_H_
#define EDGE_SE2SWITCHABLE_H_
#include "g2o/types/slam2d/vertex_se2.h"
#include "g2o/core/base_multi_edge.h"
#include "g2o/core/hyper_graph_action.h"
class EdgeSE2Switchable : public g2o::BaseMultiEdge<3, g2o::SE2>
{
public:
EdgeSE2Switchable();
virtual bool read(std::istream& is);
virtual bool write(std::ostream& os) const;
void computeError();
void linearizeOplus();
virtual void setMeasurement(const g2o::SE2& m){
_measurement = m;
_inverseMeasurement = m.inverse();
}
protected:
g2o::SE2 _inverseMeasurement;
};
#ifdef G2O_HAVE_OPENGL
class EdgeSE2SwitchableDrawAction: public g2o::DrawAction{
public:
EdgeSE2SwitchableDrawAction();
virtual g2o::HyperGraphElementAction* operator()(g2o::HyperGraph::HyperGraphElement* element,
g2o::HyperGraphElementAction::Parameters* params_);
};
#endif
#endif /* EDGE_SE2SWITCHABLE_H_ */

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/*
* edge_se3Switchable.cpp
*
* Created on: 17.10.2011
* Author: niko
*
* Updated on: 14.01.2013
* Author: Christian Kerl <christian.kerl@in.tum.de>
*/
#include "vertigo/g2o/edge_se3Switchable.h"
#include "vertigo/g2o/vertex_switchLinear.h"
#include <GL/gl.h>
#include "g2o/types/slam3d/vertex_se3.h"
#include "g2o/types/slam3d/isometry3d_gradients.h"
using namespace std;
using namespace Eigen;
// ================================================
EdgeSE3Switchable::EdgeSE3Switchable() : g2o::BaseMultiEdge<6, Eigen::Isometry3d>()
{
resize(3);
_jacobianOplus[0].resize(6,6);
_jacobianOplus[1].resize(6,6);
_jacobianOplus[2].resize(6,1);
}
// ================================================
bool EdgeSE3Switchable::read(std::istream& is)
{
g2o::Vector7d meas;
for (int i=0; i<7; i++)
is >> meas[i];
// normalize the quaternion to recover numerical precision lost by storing as human readable text
Vector4d::MapType(meas.data()+3).normalize();
setMeasurement(g2o::internal::fromVectorQT(meas));
for (int i=0; i<6; i++)
for (int j=i; j<6; j++) {
is >> information()(i,j);
if (i!=j)
information()(j,i) = information()(i,j);
}
return true;
}
// ================================================
bool EdgeSE3Switchable::write(std::ostream& os) const
{
g2o::Vector7d meas = g2o::internal::toVectorQT(measurement());
for (int i=0; i<7; i++) os << meas[i] << " ";
for (int i = 0; i < 6; ++i)
for (int j = i; j < 6; ++j)
os << " " << information()(i, j);
return os.good();
}
// ================================================
void EdgeSE3Switchable::linearizeOplus()
{
g2o::VertexSE3* from = static_cast<g2o::VertexSE3*>(_vertices[0]);
g2o::VertexSE3* to = static_cast<g2o::VertexSE3*>(_vertices[1]);
const VertexSwitchLinear* vSwitch = static_cast<const VertexSwitchLinear*>(_vertices[2]);
Eigen::Isometry3d E;
const Eigen::Isometry3d& Xi=from->estimate();
const Eigen::Isometry3d& Xj=to->estimate();
const Eigen::Isometry3d& Z=_measurement;
g2o::internal::computeEdgeSE3Gradient(E, _jacobianOplus[0], _jacobianOplus[1], Z, Xi, Xj);
_jacobianOplus[0]*=vSwitch->estimate();
_jacobianOplus[1]*=vSwitch->estimate();
// derivative w.r.t switch vertex
_jacobianOplus[2].setZero();
_jacobianOplus[2] = g2o::internal::toVectorMQT(E) * vSwitch->gradient();
}
// ================================================
void EdgeSE3Switchable::computeError()
{
const g2o::VertexSE3* v1 = dynamic_cast<const g2o::VertexSE3*>(_vertices[0]);
const g2o::VertexSE3* v2 = dynamic_cast<const g2o::VertexSE3*>(_vertices[1]);
const VertexSwitchLinear* v3 = static_cast<const VertexSwitchLinear*>(_vertices[2]);
Eigen::Isometry3d delta = _inverseMeasurement * (v1->estimate().inverse()*v2->estimate());
_error = g2o::internal::toVectorMQT(delta) * v3->estimate();
}
#ifdef G2O_HAVE_OPENGL
EdgeSE3SwitchableDrawAction::EdgeSE3SwitchableDrawAction(): DrawAction(typeid(EdgeSE3Switchable).name()){}
g2o::HyperGraphElementAction* EdgeSE3SwitchableDrawAction::operator()(g2o::HyperGraph::HyperGraphElement* element,
g2o::HyperGraphElementAction::Parameters* /*params_*/){
if (typeid(*element).name()!=_typeName)
return 0;
EdgeSE3Switchable* e = static_cast<EdgeSE3Switchable*>(element);
g2o::VertexSE3* fromEdge = static_cast<g2o::VertexSE3*>(e->vertices()[0]);
g2o::VertexSE3* toEdge = static_cast<g2o::VertexSE3*>(e->vertices()[1]);
VertexSwitchLinear* s = static_cast<VertexSwitchLinear*>(e->vertices()[2]);
glColor3f(s->estimate()*1.0,s->estimate()*0.1,s->estimate()*0.1);
glPushAttrib(GL_ENABLE_BIT);
glDisable(GL_LIGHTING);
glBegin(GL_LINES);
glVertex3f(fromEdge->estimate().translation().x(),fromEdge->estimate().translation().y(),fromEdge->estimate().translation().z());
glVertex3f(toEdge->estimate().translation().x(),toEdge->estimate().translation().y(),toEdge->estimate().translation().z());
glEnd();
glPopAttrib();
return this;
}
#endif

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/*
* edge_se3Switchable.h
*
* Created on: 17.10.2011
* Author: niko
*
* Updated on: 14.01.2013
* Author: Christian Kerl <christian.kerl@in.tum.de>
*/
#ifndef EDGE_SE3SWITCHABLE_H_
#define EDGE_SE3SWITCHABLE_H_
#include "g2o/types/slam3d/vertex_se3.h"
#include "g2o/core/base_multi_edge.h"
#include "g2o/core/hyper_graph_action.h"
class EdgeSE3Switchable : public g2o::BaseMultiEdge<6, Eigen::Isometry3d>
{
public:
EdgeSE3Switchable();
virtual bool read(std::istream& is);
virtual bool write(std::ostream& os) const;
void computeError();
void linearizeOplus();
virtual void setMeasurement(const Eigen::Isometry3d& m){
_measurement = m;
_inverseMeasurement = m.inverse();
}
protected:
Eigen::Isometry3d _inverseMeasurement;
};
#ifdef G2O_HAVE_OPENGL
class EdgeSE3SwitchableDrawAction: public g2o::DrawAction{
public:
EdgeSE3SwitchableDrawAction();
virtual g2o::HyperGraphElementAction* operator()(g2o::HyperGraph::HyperGraphElement* element,
g2o::HyperGraphElementAction::Parameters* params_);
};
#endif
#endif /* EDGE_SE3SWITCHABLE_H_ */

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#include "vertigo/g2o/edge_switchPrior.h"
using namespace std;
EdgeSwitchPrior::EdgeSwitchPrior()
{
setMeasurement(1.0);
}
bool EdgeSwitchPrior::read(std::istream &is)
{
double new_measurement;
is >> new_measurement;
setMeasurement(new_measurement);
is >> information()(0,0);
return true;
}
bool EdgeSwitchPrior::write(std::ostream &os) const
{
os << measurement() << " " << information()(0,0);
return true;
}
void EdgeSwitchPrior::setMeasurement(const double & m)
{
g2o::BaseEdge<1, double>::setMeasurement(m);
information()(0,0) = 1.0;
}
void EdgeSwitchPrior::linearizeOplus()
{
_jacobianOplusXi[0]=-1.0;
}
void EdgeSwitchPrior::computeError()
{
const VertexSwitchLinear* s = static_cast<const VertexSwitchLinear*>(_vertices[0]);
_error[0] = measurement() - s->x();
}

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#pragma once
#include "vertex_switchLinear.h"
#include "g2o/core/base_unary_edge.h"
class EdgeSwitchPrior : public g2o::BaseUnaryEdge<1, double, VertexSwitchLinear>
{
public:
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
EdgeSwitchPrior();
virtual bool read(std::istream& is);
virtual bool write(std::ostream& os) const;
virtual void setMeasurement(const double & m);
virtual void linearizeOplus();
void computeError();
};

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#include "g2o/core/factory.h"
#include "g2o/stuff/macros.h"
#include "vertigo/g2o/edge_switchPrior.h"
#include "vertigo/g2o/edge_se2Switchable.h"
//#include "vertigo/g2o/edge_se2MaxMixture.h"
#include "vertigo/g2o/edge_se3Switchable.h"
#include "vertigo/g2o/vertex_switchLinear.h"
G2O_REGISTER_TYPE(EDGE_SWITCH_PRIOR, EdgeSwitchPrior);
G2O_REGISTER_TYPE(EDGE_SE2_SWITCHABLE, EdgeSE2Switchable);
//G2O_REGISTER_TYPE(EDGE_SE2_MAXMIX, EdgeSE2MaxMixture);
G2O_REGISTER_TYPE(EDGE_SE3_SWITCHABLE, EdgeSE3Switchable);
G2O_REGISTER_TYPE(VERTEX_SWITCH, VertexSwitchLinear);
#ifdef G2O_HAVE_OPENGL
G2O_REGISTER_ACTION(EdgeSE2SwitchableDrawAction);
//G2O_REGISTER_ACTION(EdgeSE2MaxMixtureDrawAction);
G2O_REGISTER_ACTION(EdgeSE3SwitchableDrawAction);
#endif

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/*
* vertex_switchLinear.cpp
*
* Created on: 17.10.2011
* Author: niko
*
* Updated on: 14.01.2013
* Author: Christian Kerl <christian.kerl@in.tum.de>
*/
#include "vertigo/g2o/vertex_switchLinear.h"
#include <iostream>
using namespace std;
VertexSwitchLinear::VertexSwitchLinear() :
_x(0)
{
setToOrigin();
setEstimate(1.0);
}
bool VertexSwitchLinear:: read(std::istream& is)
{
is >> _x;
_estimate=_x;
return true;
}
bool VertexSwitchLinear::write(std::ostream& os) const
{
os << _x;
return os.good();
}
void VertexSwitchLinear::setToOriginImpl()
{
_x=0;
_estimate=_x;
}
void VertexSwitchLinear::setEstimate(const double &et)
{
_x=et;
_estimate=_x;
}
void VertexSwitchLinear::oplusImpl(const double* update)
{
_x += update[0];
if (_x<0) _x=0;
if (_x>1) _x=1;
_estimate=_x;
}

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/*
* vertex_switchLinear.h
*
* Created on: 17.10.2011
* Author: niko
*
* Updated on: 14.01.2013
* Author: Christian Kerl <christian.kerl@in.tum.de>
*/
#pragma once
#include "g2o/core/base_vertex.h"
#include <math.h>
class VertexSwitchLinear : public g2o::BaseVertex<1, double>
{
public:
VertexSwitchLinear();
virtual void setToOriginImpl();
virtual void oplusImpl(const double* update);
virtual bool read(std::istream& is);
virtual bool write(std::ostream& os) const;
virtual void setEstimate(const double &et);
double x() const { return _x; };
//! The gradient at the current estimate is always 1;
double gradient() const { return 1; } ;
private:
double _x;
};

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/*
* betweenFactorMaxMix.h
*
* Created on: 14.08.2012
* Author: niko
*/
#ifndef BETWEENFACTORMAXMIX_H_
#define BETWEENFACTORMAXMIX_H_
#include <gtsam/linear/NoiseModel.h>
#include <Eigen/Eigen>
namespace vertigo {
template<class VALUE>
class BetweenFactorMaxMix : public gtsam::NoiseModelFactor2<VALUE, VALUE>
{
public:
BetweenFactorMaxMix() : weight(0.0) {};
BetweenFactorMaxMix(gtsam::Key key1, gtsam::Key key2, const VALUE& measured, const gtsam::SharedNoiseModel& model, const gtsam::SharedNoiseModel& model2, double w)
: gtsam::NoiseModelFactor2<VALUE, VALUE>(model, key1, key2), weight(w), nullHypothesisModel(model2),
betweenFactor(key1, key2, measured, model) { };
gtsam::Vector evaluateError(const VALUE& p1, const VALUE& p2,
boost::optional<gtsam::Matrix&> H1 = boost::none,
boost::optional<gtsam::Matrix&> H2 = boost::none) const
{
// calculate error
gtsam::Vector error = betweenFactor.evaluateError(p1, p2, H1, H2);
// which hypothesis is more likely
double m1 = this->noiseModel_->distance(error);
gtsam::noiseModel::Gaussian::shared_ptr g1 = this->noiseModel_;
gtsam::Matrix info1(g1->R().transpose()*g1->R());
double nu1 = 1.0/sqrt(gtsam::inverse(info1).determinant());
double l1 = nu1 * exp(-0.5*m1);
double m2 = nullHypothesisModel->distance(error);
gtsam::noiseModel::Gaussian::shared_ptr g2 = nullHypothesisModel;
gtsam::Matrix info2(g2->R().transpose()*g2->R());
double nu2 = 1.0/sqrt(gtsam::inverse(info2).determinant());
double l2 = nu2 * exp(-0.5*m2);
// if the null hypothesis is more likely, than proceed by applying the weight ...
if (l2>l1) {
if (H1) *H1 = *H1 * weight;
if (H2) *H2 = *H2 * weight;
error *= sqrt(weight);
}
return error;
};
private:
gtsam::BetweenFactor<VALUE> betweenFactor;
gtsam::SharedNoiseModel nullHypothesisModel;
double weight;
};
}
#endif /* BETWEENFACTORMAXMIX_H_ */

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/*
* betweenFactorSwitchable.h
*
* Created on: 02.08.2012
* Author: niko
*/
#ifndef BETWEENFACTORSWITCHABLE_H_
#define BETWEENFACTORSWITCHABLE_H_
#include <gtsam/nonlinear/NonlinearFactor.h>
#include <iostream>
using std::cout;
using std::endl;
#include "switchVariableLinear.h"
#include "switchVariableSigmoid.h"
namespace vertigo {
template<class VALUE>
class BetweenFactorSwitchableLinear : public gtsam::NoiseModelFactor3<VALUE, VALUE, SwitchVariableLinear>
{
public:
BetweenFactorSwitchableLinear() {};
BetweenFactorSwitchableLinear(gtsam::Key key1, gtsam::Key key2, gtsam::Key key3, const VALUE& measured, const gtsam::SharedNoiseModel& model)
: gtsam::NoiseModelFactor3<VALUE, VALUE, SwitchVariableLinear>(model, key1, key2, key3),
betweenFactor(key1, key2, measured, model) {};
gtsam::Vector evaluateError(const VALUE& p1, const VALUE& p2, const SwitchVariableLinear& s,
boost::optional<gtsam::Matrix&> H1 = boost::none,
boost::optional<gtsam::Matrix&> H2 = boost::none,
boost::optional<gtsam::Matrix&> H3 = boost::none) const
{
// calculate error
gtsam::Vector error = betweenFactor.evaluateError(p1, p2, H1, H2);
error *= s.value();
// handle derivatives
if (H1) *H1 = *H1 * s.value();
if (H2) *H2 = *H2 * s.value();
if (H3) *H3 = error;
return error;
};
private:
gtsam::BetweenFactor<VALUE> betweenFactor;
};
template<class VALUE>
class BetweenFactorSwitchableSigmoid : public gtsam::NoiseModelFactor3<VALUE, VALUE, SwitchVariableSigmoid>
{
public:
BetweenFactorSwitchableSigmoid() {};
BetweenFactorSwitchableSigmoid(gtsam::Key key1, gtsam::Key key2, gtsam::Key key3, const VALUE& measured, const gtsam::SharedNoiseModel& model)
: gtsam::NoiseModelFactor3<VALUE, VALUE, SwitchVariableSigmoid>(model, key1, key2, key3),
betweenFactor(key1, key2, measured, model) {};
gtsam::Vector evaluateError(const VALUE& p1, const VALUE& p2, const SwitchVariableSigmoid& s,
boost::optional<gtsam::Matrix&> H1 = boost::none,
boost::optional<gtsam::Matrix&> H2 = boost::none,
boost::optional<gtsam::Matrix&> H3 = boost::none) const
{
// calculate error
gtsam::Vector error = betweenFactor.evaluateError(p1, p2, H1, H2);
double w = sigmoid(s.value());
error *= w;
// handle derivatives
if (H1) *H1 = *H1 * w;
if (H2) *H2 = *H2 * w;
if (H3) *H3 = error /* (w*(1.0-w))*/; // sig(x)*(1-sig(x)) is the derivative of sig(x) wrt. x
return error;
};
private:
gtsam::BetweenFactor<VALUE> betweenFactor;
double sigmoid(double x) const {
return 1.0/(1.0+exp(-x));
}
};
}
#endif /* BETWEENFACTORSWITCHABLE_H_ */

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/*
* switchVariableLinear.h
*
* Created on: 02.08.2012
* Author: niko
*/
#ifndef SWITCHVARIABLELINEAR_H_
#define SWITCHVARIABLELINEAR_H_
#pragma once
#include <gtsam/base/DerivedValue.h>
#include <gtsam/base/Lie.h>
namespace vertigo {
/**
* SwitchVariableLinear is a wrapper around double to allow it to be a Lie type
*/
struct SwitchVariableLinear : public gtsam::DerivedValue<SwitchVariableLinear> {
/** default constructor */
SwitchVariableLinear() : d_(0.0) {};
/** wrap a double */
SwitchVariableLinear(double d) : d_(d) {
// if (d_ < 0.0) d_=0.0;
// else if(d_>1.0) d_=1.0;
};
/** access the underlying value */
double value() const { return d_; }
/** print @param s optional string naming the object */
inline void print(const std::string& name="") const {
std::cout << name << ": " << d_ << std::endl;
}
/** equality up to tolerance */
inline bool equals(const SwitchVariableLinear& expected, double tol=1e-5) const {
return fabs(expected.d_ - d_) <= tol;
}
// Manifold requirements
/** Returns dimensionality of the tangent space */
inline size_t dim() const { return 1; }
inline static size_t Dim() { return 1; }
/** Update the SwitchVariableLinear with a tangent space update */
inline SwitchVariableLinear retract(const gtsam::Vector& v) const {
double x = value() + v(0);
if (x>1.0) x=1.0;
else if (x<0.0) x=0.0;
return SwitchVariableLinear(x);
}
/** @return the local coordinates of another object */
inline gtsam::Vector localCoordinates(const SwitchVariableLinear& t2) const { return gtsam::Vector1(t2.value() - value()); }
// Group requirements
/** identity */
inline static SwitchVariableLinear identity() {
return SwitchVariableLinear();
}
/** compose with another object */
inline SwitchVariableLinear compose(const SwitchVariableLinear& p) const {
return SwitchVariableLinear(d_ + p.d_);
}
/** between operation */
inline SwitchVariableLinear between(const SwitchVariableLinear& l2,
boost::optional<gtsam::Matrix&> H1=boost::none,
boost::optional<gtsam::Matrix&> H2=boost::none) const {
if(H1) *H1 = -gtsam::eye(1);
if(H2) *H2 = gtsam::eye(1);
return SwitchVariableLinear(l2.value() - value());
}
/** invert the object and yield a new one */
inline SwitchVariableLinear inverse() const {
return SwitchVariableLinear(-1.0 * value());
}
// Lie functions
/** Expmap around identity */
static inline SwitchVariableLinear Expmap(const gtsam::Vector& v) { return SwitchVariableLinear(v(0)); }
/** Logmap around identity - just returns with default cast back */
static inline gtsam::Vector Logmap(const SwitchVariableLinear& p) { return gtsam::Vector1(p.value()); }
private:
double d_;
};
}
namespace gtsam {
// Define Key to be Testable by specializing gtsam::traits
template<typename T> struct traits;
template<> struct traits<vertigo::SwitchVariableLinear> {
static void Print(const vertigo::SwitchVariableLinear& key, const std::string& str = "") {
key.print(str);
}
static bool Equals(const vertigo::SwitchVariableLinear& key1, const vertigo::SwitchVariableLinear& key2, double tol = 1e-8) {
return key1.equals(key2, tol);
}
static int GetDimension(const vertigo::SwitchVariableLinear & key) {return key.Dim();}
typedef OptionalJacobian<3, 3> ChartJacobian;
typedef gtsam::Vector TangentVector;
static TangentVector Local(const vertigo::SwitchVariableLinear& origin, const vertigo::SwitchVariableLinear& other,
ChartJacobian Horigin = boost::none, ChartJacobian Hother = boost::none) {
return origin.localCoordinates(other);
}
static vertigo::SwitchVariableLinear Retract(const vertigo::SwitchVariableLinear& g, const TangentVector& v,
ChartJacobian H1 = boost::none, ChartJacobian H2 = boost::none) {
return g.retract(v);
}
};
}
#endif /* SWITCHVARIABLELINEAR_H_ */

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/*
* switchVariableSigmoid.h
*
* Created on: 08.08.2012
* Author: niko
*/
#ifndef SWITCHVARIABLESIGMOID_H_
#define SWITCHVARIABLESIGMOID_H_
#pragma once
#include <gtsam/base/DerivedValue.h>
#include <gtsam/base/Lie.h>
namespace vertigo {
/**
* SwitchVariableSigmoid is a wrapper around double to allow it to be a Lie type
*/
struct SwitchVariableSigmoid : public gtsam::DerivedValue<SwitchVariableSigmoid> {
/** default constructor */
SwitchVariableSigmoid() : d_(10.0) {};
/** wrap a double */
SwitchVariableSigmoid(double d) : d_(d) {
if (d_ < -10.0) d_=-10.0;
else if(d_>10.0) d_=10.0;
};
/** access the underlying value */
double value() const { return d_; }
/** print @param s optional string naming the object */
inline void print(const std::string& name="") const {
std::cout << name << ": " << d_ << std::endl;
}
/** equality up to tolerance */
inline bool equals(const SwitchVariableSigmoid& expected, double tol=1e-5) const {
return fabs(expected.d_ - d_) <= tol;
}
// Manifold requirements
/** Returns dimensionality of the tangent space */
inline size_t dim() const { return 1; }
inline static size_t Dim() { return 1; }
/** Update the SwitchVariableSigmoid with a tangent space update */
inline SwitchVariableSigmoid retract(const gtsam::Vector& v) const {
double x = value() + v(0);
if (x>10.0) x=10.0;
else if (x<-10.0) x=-10.0;
return SwitchVariableSigmoid(x);
}
/** @return the local coordinates of another object */
inline gtsam::Vector localCoordinates(const SwitchVariableSigmoid& t2) const { return gtsam::Vector1(t2.value() - value()); }
// Group requirements
/** identity */
inline static SwitchVariableSigmoid identity() {
return SwitchVariableSigmoid();
}
/** compose with another object */
inline SwitchVariableSigmoid compose(const SwitchVariableSigmoid& p) const {
return SwitchVariableSigmoid(d_ + p.d_);
}
/** between operation */
inline SwitchVariableSigmoid between(const SwitchVariableSigmoid& l2,
boost::optional<gtsam::Matrix&> H1=boost::none,
boost::optional<gtsam::Matrix&> H2=boost::none) const {
if(H1) *H1 = -gtsam::eye(1);
if(H2) *H2 = gtsam::eye(1);
return SwitchVariableSigmoid(l2.value() - value());
}
/** invert the object and yield a new one */
inline SwitchVariableSigmoid inverse() const {
return SwitchVariableSigmoid(-1.0 * value());
}
// Lie functions
/** Expmap around identity */
static inline SwitchVariableSigmoid Expmap(const gtsam::Vector& v) { return SwitchVariableSigmoid(v(0)); }
/** Logmap around identity - just returns with default cast back */
static inline gtsam::Vector Logmap(const SwitchVariableSigmoid& p) { return gtsam::Vector1(p.value()); }
private:
double d_;
};
}
namespace gtsam {
// Define Key to be Testable by specializing gtsam::traits
template<typename T> struct traits;
template<> struct traits<vertigo::SwitchVariableSigmoid> {
static void Print(const vertigo::SwitchVariableSigmoid& key, const std::string& str = "") {
key.print(str);
}
static bool Equals(const vertigo::SwitchVariableSigmoid& key1, const vertigo::SwitchVariableSigmoid& key2, double tol = 1e-8) {
return key1.equals(key2, tol);
}
static int GetDimension(const vertigo::SwitchVariableSigmoid & key) {return key.Dim();}
typedef OptionalJacobian<3, 3> ChartJacobian;
typedef gtsam::Vector TangentVector;
static TangentVector Local(const vertigo::SwitchVariableSigmoid& origin, const vertigo::SwitchVariableSigmoid& other,
ChartJacobian Horigin = boost::none, ChartJacobian Hother = boost::none) {
return origin.localCoordinates(other);
}
static vertigo::SwitchVariableSigmoid Retract(const vertigo::SwitchVariableSigmoid& g, const TangentVector& v,
ChartJacobian H1 = boost::none, ChartJacobian H2 = boost::none) {
return g.retract(v);
}
};
}
#endif /* SWITCHVARIABLESIGMOID_H_ */

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Info: http://openslam.org/vertigo.html
Source: https://github.com/christiankerl/vertigo/tree/master/trunk
Commit: fbd438488a56cdba805fa2f75aa3e394e3eda7ff
License: GPL v3
Tested with g2o (ROS Indigo/2014.02.18)
Tested with GTSAM commit c73b835