Refactoring: Split all graph optimization approaches in multiple files

This commit is contained in:
matlabbe
2015-11-27 11:09:39 -05:00
parent 93326ab1fe
commit 7d35906398
23 changed files with 2373 additions and 1958 deletions

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@@ -33,8 +33,6 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include <map>
#include <list>
#include <rtabmap/core/Link.h>
#include <rtabmap/core/Parameters.h>
#include <rtabmap/core/Signature.h>
namespace rtabmap {
class Memory;
@@ -42,213 +40,17 @@ class Memory;
namespace graph {
////////////////////////////////////////////
// Graph optimizers
// Graph utilities
////////////////////////////////////////////
class RTABMAP_EXP Optimizer
{
public:
enum Type {
kTypeUndef = -1,
kTypeTORO = 0,
kTypeG2O = 1,
kTypeGTSAM = 2,
kTypeCVSBA = 3
};
static Optimizer * create(const ParametersMap & parameters);
static Optimizer * create(Optimizer::Type & type, const ParametersMap & parameters = ParametersMap());
// Get connected poses and constraints from a set of links
static void getConnectedGraph(
int fromId,
const std::map<int, Transform> & posesIn,
const std::multimap<int, Link> & linksIn, // only one link between two poses
std::map<int, Transform> & posesOut,
std::multimap<int, Link> & linksOut,
int depth = 0);
public:
virtual ~Optimizer() {}
virtual Type type() const = 0;
int iterations() const {return iterations_;}
bool isSlam2d() const {return slam2d_;}
bool isCovarianceIgnored() const {return covarianceIgnored_;}
double epsilon() const {return epsilon_;}
bool isRobust() const {return robust_;}
// inherited classes should implement one of these methods
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & constraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
virtual std::map<int, Transform> optimizeBA(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & links,
const std::map<int, Signature> & signatures);
virtual void parseParameters(const ParametersMap & parameters);
protected:
Optimizer(
int iterations = Parameters::defaultRGBDOptimizeIterations(),
bool slam2d = Parameters::defaultRGBDOptimizeSlam2D(),
bool covarianceIgnored = Parameters::defaultRGBDOptimizeVarianceIgnored(),
double epsilon = Parameters::defaultRGBDOptimizeEpsilon(),
bool robust = Parameters::defaultRGBDOptimizeRobust());
Optimizer(const ParametersMap & parameters);
private:
int iterations_;
bool slam2d_;
bool covarianceIgnored_;
double epsilon_;
bool robust_;
};
class RTABMAP_EXP TOROOptimizer : public Optimizer
{
public:
static bool saveGraph(
const std::string & fileName,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints);
static bool loadGraph(
const std::string & fileName,
std::map<int, Transform> & poses,
std::multimap<int, Link> & edgeConstraints);
public:
TOROOptimizer(
int iterations = Parameters::defaultRGBDOptimizeIterations(),
bool slam2d = Parameters::defaultRGBDOptimizeSlam2D(),
bool covarianceIgnored = Parameters::defaultRGBDOptimizeVarianceIgnored(),
double epsilon = Parameters::defaultRGBDOptimizeEpsilon()) :
Optimizer(iterations, slam2d, covarianceIgnored, epsilon) {}
TOROOptimizer(const ParametersMap & parameters) :
Optimizer(parameters) {}
virtual ~TOROOptimizer() {}
virtual Type type() const {return kTypeTORO;}
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
};
class RTABMAP_EXP G2OOptimizer : public Optimizer
{
public:
static bool available();
static bool saveGraph(
const std::string & fileName,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
bool useRobustConstraints = false);
public:
G2OOptimizer(
int iterations = Parameters::defaultRGBDOptimizeIterations(),
bool slam2d = Parameters::defaultRGBDOptimizeSlam2D(),
bool covarianceIgnored = Parameters::defaultRGBDOptimizeVarianceIgnored(),
double epsilon = Parameters::defaultRGBDOptimizeEpsilon(),
bool robust = Parameters::defaultRGBDOptimizeRobust()) :
Optimizer(iterations, slam2d, covarianceIgnored, epsilon, robust) {}
G2OOptimizer(const ParametersMap & parameters) :
Optimizer(parameters) {}
virtual ~G2OOptimizer() {}
virtual Type type() const {return kTypeG2O;}
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
};
class RTABMAP_EXP GTSAMOptimizer : public Optimizer
{
public:
static bool available();
public:
GTSAMOptimizer(
int iterations = Parameters::defaultRGBDOptimizeIterations(),
bool slam2d = Parameters::defaultRGBDOptimizeSlam2D(),
bool covarianceIgnored = Parameters::defaultRGBDOptimizeVarianceIgnored(),
double epsilon = Parameters::defaultRGBDOptimizeEpsilon(),
bool robust = Parameters::defaultRGBDOptimizeRobust()) :
Optimizer(iterations, slam2d, covarianceIgnored, epsilon, robust) {}
GTSAMOptimizer(const ParametersMap & parameters) :
Optimizer(parameters) {}
virtual ~GTSAMOptimizer() {}
virtual Type type() const {return kTypeGTSAM;}
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
};
class RTABMAP_EXP CVSBAOptimizer : public Optimizer
{
public:
static bool available();
public:
CVSBAOptimizer(int iterations = 100, bool slam2d = false, bool covarianceIgnored = false) :
Optimizer(iterations, slam2d, covarianceIgnored),
inlierDistance_(0.02),
minInliers_(10){}
CVSBAOptimizer(const ParametersMap & parameters) :
Optimizer(parameters),
inlierDistance_(0.02),
minInliers_(10){}
virtual ~CVSBAOptimizer() {}
virtual Type type() const {return kTypeCVSBA;}
void setInlierDistance(float inlierDistance) {inlierDistance_ = inlierDistance;}
void setMinInliers(int minInliers) {minInliers_ = minInliers;}
virtual std::map<int, Transform> optimizeBA(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & links,
const std::map<int, Signature> & signatures);
private:
float inlierDistance_;
float minInliers_;
};
bool RTABMAP_EXP exportPoses(
const std::string & filePath,
int format, // 0=Raw (*.txt), 1=RGBD-SLAM (*.txt), 2=KITTI (*.txt), 3=TORO (*.graph), 4=g2o (*.g2o)
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & constraints, // required for formats 3 and 4
const std::map<int, double> & stamps); // required for format 1
const std::multimap<int, Link> & constraints = std::multimap<int, Link>(), // required for formats 3 and 4
const std::map<int, double> & stamps = std::map<int, double>(), // required for format 1
bool g2oRobust = false); // optional for format 4
////////////////////////////////////////////
// Graph utilities
////////////////////////////////////////////
std::multimap<int, Link>::iterator RTABMAP_EXP findLink(
std::multimap<int, Link> & links,
int from,

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@@ -0,0 +1,112 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef OPTIMIZER_H_
#define OPTIMIZER_H_
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <map>
#include <list>
#include <rtabmap/core/Link.h>
#include <rtabmap/core/Parameters.h>
#include <rtabmap/core/Signature.h>
namespace rtabmap {
////////////////////////////////////////////
// Graph optimizers
////////////////////////////////////////////
class RTABMAP_EXP Optimizer
{
public:
enum Type {
kTypeUndef = -1,
kTypeTORO = 0,
kTypeG2O = 1,
kTypeGTSAM = 2,
kTypeCVSBA = 3
};
static bool isAvailable(Optimizer::Type type);
static Optimizer * create(const ParametersMap & parameters);
static Optimizer * create(Optimizer::Type & type, const ParametersMap & parameters = ParametersMap());
// Get connected poses and constraints from a set of links
static void getConnectedGraph(
int fromId,
const std::map<int, Transform> & posesIn,
const std::multimap<int, Link> & linksIn, // only one link between two poses
std::map<int, Transform> & posesOut,
std::multimap<int, Link> & linksOut,
int depth = 0);
public:
virtual ~Optimizer() {}
virtual Type type() const = 0;
int iterations() const {return iterations_;}
bool isSlam2d() const {return slam2d_;}
bool isCovarianceIgnored() const {return covarianceIgnored_;}
double epsilon() const {return epsilon_;}
bool isRobust() const {return robust_;}
// inherited classes should implement one of these methods
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & constraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
virtual std::map<int, Transform> optimizeBA(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & links,
const std::map<int, Signature> & signatures);
virtual void parseParameters(const ParametersMap & parameters);
protected:
Optimizer(
int iterations = Parameters::defaultOptimizerIterations(),
bool slam2d = Parameters::defaultOptimizerSlam2D(),
bool covarianceIgnored = Parameters::defaultOptimizerVarianceIgnored(),
double epsilon = Parameters::defaultOptimizerEpsilon(),
bool robust = Parameters::defaultOptimizerRobust());
Optimizer(const ParametersMap & parameters);
private:
int iterations_;
bool slam2d_;
bool covarianceIgnored_;
double epsilon_;
bool robust_;
};
} /* namespace rtabmap */
#endif /* OPTIMIZER_H_ */

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@@ -0,0 +1,73 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef OPTIMIZERCVSBA_H_
#define OPTIMIZERCVSBA_H_
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <rtabmap/core/Optimizer.h>
namespace rtabmap {
class RTABMAP_EXP OptimizerCVSBA : public Optimizer
{
public:
static bool available();
public:
OptimizerCVSBA(
int iterations = Parameters::defaultOptimizerIterations(),
bool slam2d = Parameters::defaultOptimizerSlam2D(),
bool covarianceIgnored = Parameters::defaultOptimizerVarianceIgnored()) :
Optimizer(iterations, slam2d, covarianceIgnored),
inlierDistance_(0.02),
minInliers_(10){}
OptimizerCVSBA(const ParametersMap & parameters) :
Optimizer(parameters),
inlierDistance_(0.02),
minInliers_(10){}
virtual ~OptimizerCVSBA() {}
virtual Type type() const {return kTypeCVSBA;}
void setInlierDistance(float inlierDistance) {inlierDistance_ = inlierDistance;}
void setMinInliers(int minInliers) {minInliers_ = minInliers;}
virtual std::map<int, Transform> optimizeBA(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & links,
const std::map<int, Signature> & signatures);
private:
float inlierDistance_;
float minInliers_;
};
} /* namespace rtabmap */
#endif /* OPTIMIZERCVSBA_H_ */

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@@ -0,0 +1,72 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef OPTIMIZERG2O_H_
#define OPTIMIZERG2O_H_
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <rtabmap/core/Optimizer.h>
namespace rtabmap {
class RTABMAP_EXP OptimizerG2O : public Optimizer
{
public:
static bool available();
static bool saveGraph(
const std::string & fileName,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
bool useRobustConstraints = false);
public:
OptimizerG2O(
int iterations = Parameters::defaultOptimizerIterations(),
bool slam2d = Parameters::defaultOptimizerSlam2D(),
bool covarianceIgnored = Parameters::defaultOptimizerVarianceIgnored(),
double epsilon = Parameters::defaultOptimizerEpsilon(),
bool robust = Parameters::defaultOptimizerRobust()) :
Optimizer(iterations, slam2d, covarianceIgnored, epsilon, robust) {}
OptimizerG2O(const ParametersMap & parameters) :
Optimizer(parameters) {}
virtual ~OptimizerG2O() {}
virtual Type type() const {return kTypeG2O;}
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
};
} /* namespace rtabmap */
#endif /* OPTIMIZERG2O_H_ */

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@@ -0,0 +1,67 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef OPTIMIZERGTSAM_H_
#define OPTIMIZERGTSAM_H_
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <rtabmap/core/Optimizer.h>
namespace rtabmap {
class RTABMAP_EXP OptimizerGTSAM : public Optimizer
{
public:
static bool available();
public:
OptimizerGTSAM(
int iterations = Parameters::defaultOptimizerIterations(),
bool slam2d = Parameters::defaultOptimizerSlam2D(),
bool covarianceIgnored = Parameters::defaultOptimizerVarianceIgnored(),
double epsilon = Parameters::defaultOptimizerEpsilon(),
bool robust = Parameters::defaultOptimizerRobust()) :
Optimizer(iterations, slam2d, covarianceIgnored, epsilon, robust) {}
OptimizerGTSAM(const ParametersMap & parameters) :
Optimizer(parameters) {}
virtual ~OptimizerGTSAM() {}
virtual Type type() const {return kTypeGTSAM;}
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
};
} /* namespace rtabmap */
#endif /* OPTIMIZERGTSAM_H_ */

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@@ -0,0 +1,72 @@
/*
Copyright (c) 2010-2014, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef OPTIMIZERTORO_H_
#define OPTIMIZERTORO_H_
#include "rtabmap/core/RtabmapExp.h" // DLL export/import defines
#include <rtabmap/core/Optimizer.h>
namespace rtabmap {
class RTABMAP_EXP OptimizerTORO : public Optimizer
{
public:
static bool saveGraph(
const std::string & fileName,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints);
static bool loadGraph(
const std::string & fileName,
std::map<int, Transform> & poses,
std::multimap<int, Link> & edgeConstraints);
public:
OptimizerTORO(
int iterations = Parameters::defaultOptimizerIterations(),
bool slam2d = Parameters::defaultOptimizerSlam2D(),
bool covarianceIgnored = Parameters::defaultOptimizerVarianceIgnored(),
double epsilon = Parameters::defaultOptimizerEpsilon()) :
Optimizer(iterations, slam2d, covarianceIgnored, epsilon) {}
OptimizerTORO(const ParametersMap & parameters) :
Optimizer(parameters) {}
virtual ~OptimizerTORO() {}
virtual Type type() const {return kTypeTORO;}
virtual std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & edgeConstraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
};
} /* namespace rtabmap */
#endif /* GRAPH_H_ */

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@@ -316,12 +316,12 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(RGBD, ProximityPathRawPosesUsed, bool, true, "When comparing to a local path, merge the scan using the odometry poses (with neighbor link optimizations) instead of the ones in the optimized local graph.");
// Graph optimization
RTABMAP_PARAM(RGBD, OptimizeStrategy, int, 0, "Graph optimization strategy: 0=TORO, 1=g2o and 2=GTSAM.");
RTABMAP_PARAM(RGBD, OptimizeIterations, int, 100, "Optimization iterations.");
RTABMAP_PARAM(RGBD, OptimizeSlam2D, bool, false, "If optimization is done only on x,y and theta (3DoF). Otherwise, it is done on full 6DoF poses.");
RTABMAP_PARAM(RGBD, OptimizeVarianceIgnored, bool, false, "Ignore constraints' variance. If checked, identity information matrix is used for each constraint. Otherwise, an information matrix is generated from the variance saved in the links.");
RTABMAP_PARAM(RGBD, OptimizeEpsilon, double, 0.0001, "Stop optimizing when the error improvement is less than this value.");
RTABMAP_PARAM(RGBD, OptimizeRobust, bool, true, "Robust graph optimization using Vertigo (only work for g2o and GTSAM optimization strategies).");
RTABMAP_PARAM(Optimizer, Strategy, int, 0, "Graph optimization strategy: 0=TORO, 1=g2o and 2=GTSAM.")
RTABMAP_PARAM(Optimizer, Iterations, int, 100, "Optimization iterations.");
RTABMAP_PARAM(Optimizer, Slam2D, bool, false, "If optimization is done only on x,y and theta (3DoF). Otherwise, it is done on full 6DoF poses.");
RTABMAP_PARAM(Optimizer, VarianceIgnored, bool, false, "Ignore constraints' variance. If checked, identity information matrix is used for each constraint. Otherwise, an information matrix is generated from the variance saved in the links.");
RTABMAP_PARAM(Optimizer, Epsilon, double, 0.0001, "Stop optimizing when the error improvement is less than this value.");
RTABMAP_PARAM(Optimizer, Robust, bool, true, "Robust graph optimization using Vertigo (only work for g2o and GTSAM optimization strategies).");
// Odometry
RTABMAP_PARAM(Odom, Strategy, int, 0, "0=Bag-of-words 1=Optical Flow");

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@@ -47,9 +47,7 @@ class EpipolarGeometry;
class Memory;
class BayesFilter;
class Signature;
namespace graph {
class Optimizer;
}
class RTABMAP_EXP Rtabmap
{
@@ -216,7 +214,7 @@ private:
// strategies for a type of signature or configuration.
EpipolarGeometry * _epipolarGeometry;
BayesFilter * _bayesFilter;
graph::Optimizer * _graphOptimizer;
Optimizer * _graphOptimizer;
ParametersMap _modifiedParameters;
Memory * _memory;