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g2o
solvers
slam2d_linear
slam2d_linear.cpp
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// g2o - General Graph Optimization
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// Copyright (C) 2011 R. Kuemmerle, G. Grisetti, W. Burgard
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// All rights reserved.
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are
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// met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright
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// notice, this list of conditions and the following disclaimer in the
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// documentation and/or other materials provided with the distribution.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
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// IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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// TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
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// PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
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// TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include "
g2o/core/block_solver.h
"
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#include "
g2o/core/optimization_algorithm.h
"
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#include "
g2o/core/optimization_algorithm_factory.h
"
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#include "
g2o/core/solver.h
"
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#include "
g2o/core/sparse_optimizer.h
"
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#include "
g2o/solvers/eigen/linear_solver_eigen.h
"
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#include "
g2o/stuff/logger.h
"
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#include "
g2o/stuff/macros.h
"
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#include "
solver_slam2d_linear.h
"
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namespace
g2o
{
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namespace
{
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template
<
int
p,
int
l,
bool
blockorder>
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std::unique_ptr<BlockSolverBase> AllocateSolver() {
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G2O_DEBUG
(
"Using 2dlinear poseDim {} landMarkDim {} blockordering {}"
, p, l,
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blockorder);
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auto
linearSolver = std::make_unique<
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LinearSolverEigen<typename BlockSolverPL<p, l>::PoseMatrixType
>>();
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linearSolver->
setBlockOrdering
(blockorder);
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return
std::make_unique<BlockSolverPL<p, l>>(std::move(linearSolver));
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}
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}
// namespace
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static
OptimizationAlgorithm
*
createSolver
(
const
std::string& fullSolverName) {
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if
(fullSolverName !=
"2dlinear"
)
return
nullptr
;
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return
new
SolverSLAM2DLinear
{AllocateSolver<3, 2, true>()};
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}
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class
SLAM2DLinearSolverCreator
:
public
AbstractOptimizationAlgorithmCreator
{
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public
:
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explicit
SLAM2DLinearSolverCreator
(
const
OptimizationAlgorithmProperty
& p)
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:
AbstractOptimizationAlgorithmCreator
(p) {}
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virtual
OptimizationAlgorithm
*
construct
() {
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return
createSolver
(
property
().name);
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}
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};
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G2O_REGISTER_OPTIMIZATION_LIBRARY
(slam2d_linear);
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G2O_REGISTER_OPTIMIZATION_ALGORITHM
(
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2dlinear,
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new
SLAM2DLinearSolverCreator
(
OptimizationAlgorithmProperty
(
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"2dlinear"
,
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"Solve Orientation + Gauss-Newton: Works only on 2D pose graphs!!"
,
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"Eigen"
,
false
, 3, 3)));
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}
// namespace g2o
block_solver.h
g2o::AbstractOptimizationAlgorithmCreator::property
const OptimizationAlgorithmProperty & property() const
return the properties of the solver
Definition
optimization_algorithm_factory.h:60
g2o::AbstractOptimizationAlgorithmCreator::AbstractOptimizationAlgorithmCreator
AbstractOptimizationAlgorithmCreator(const OptimizationAlgorithmProperty &p)
Definition
optimization_algorithm_factory.cpp:39
g2o::LinearSolverCCS::setBlockOrdering
void setBlockOrdering(bool blockOrdering)
Definition
linear_solver.h:177
g2o::LinearSolverEigen
linear solver which uses the sparse Cholesky solver from Eigen
Definition
linear_solver_eigen.h:51
g2o::OptimizationAlgorithm
Generic interface for a non-linear solver operating on a graph.
Definition
optimization_algorithm.h:46
g2o::SLAM2DLinearSolverCreator
Definition
slam2d_linear.cpp:60
g2o::SLAM2DLinearSolverCreator::SLAM2DLinearSolverCreator
SLAM2DLinearSolverCreator(const OptimizationAlgorithmProperty &p)
Definition
slam2d_linear.cpp:62
g2o::SLAM2DLinearSolverCreator::construct
virtual OptimizationAlgorithm * construct()
allocate a solver operating on optimizer, re-implement for your creator
Definition
slam2d_linear.cpp:64
g2o::SolverSLAM2DLinear
Implementation of a linear approximation for 2D pose graph SLAM.
Definition
solver_slam2d_linear.h:50
linear_solver_eigen.h
G2O_DEBUG
#define G2O_DEBUG(...)
logger.h
macros.h
g2o
Definition
dl_wrapper.cpp:55
g2o::createSolver
static OptimizationAlgorithm * createSolver(const std::string &solverName)
Definition
graph_optimizer_sparse_incremental.cpp:471
optimization_algorithm.h
optimization_algorithm_factory.h
G2O_REGISTER_OPTIMIZATION_LIBRARY
#define G2O_REGISTER_OPTIMIZATION_LIBRARY(libraryname)
Definition
optimization_algorithm_factory.h:160
G2O_REGISTER_OPTIMIZATION_ALGORITHM
#define G2O_REGISTER_OPTIMIZATION_ALGORITHM(optimizername, instance)
Definition
optimization_algorithm_factory.h:181
solver.h
solver_slam2d_linear.h
sparse_optimizer.h
g2o::OptimizationAlgorithmProperty
describe the properties of a solver
Definition
optimization_algorithm_property.h:39
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