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00018 #include "spa_solver.h"
00019 #include <karto/Karto.h>
00020
00021 #include "ros/console.h"
00022
00023 SpaSolver::SpaSolver()
00024 {
00025
00026 }
00027
00028 SpaSolver::~SpaSolver()
00029 {
00030
00031 }
00032
00033 void SpaSolver::Clear()
00034 {
00035 corrections.clear();
00036 }
00037
00038 const karto::ScanSolver::IdPoseVector& SpaSolver::GetCorrections() const
00039 {
00040 return corrections;
00041 }
00042
00043 void SpaSolver::Compute()
00044 {
00045 corrections.clear();
00046
00047 typedef std::vector<sba::Node2d, Eigen::aligned_allocator<sba::Node2d> > NodeVector;
00048
00049 ROS_INFO("Calling doSPA for loop closure");
00050 m_Spa.doSPA(40);
00051 ROS_INFO("Finished doSPA for loop closure");
00052 NodeVector nodes = m_Spa.getNodes();
00053 forEach(NodeVector, &nodes)
00054 {
00055 karto::Pose2 pose(iter->trans(0), iter->trans(1), iter->arot);
00056 corrections.push_back(std::make_pair(iter->nodeId, pose));
00057 }
00058 }
00059
00060 void SpaSolver::AddNode(karto::Vertex<karto::LocalizedRangeScan>* pVertex)
00061 {
00062 karto::Pose2 pose = pVertex->GetObject()->GetCorrectedPose();
00063 Eigen::Vector3d vector(pose.GetX(), pose.GetY(), pose.GetHeading());
00064 m_Spa.addNode(vector, pVertex->GetObject()->GetUniqueId());
00065 }
00066
00067 void SpaSolver::AddConstraint(karto::Edge<karto::LocalizedRangeScan>* pEdge)
00068 {
00069 karto::LocalizedRangeScan* pSource = pEdge->GetSource()->GetObject();
00070 karto::LocalizedRangeScan* pTarget = pEdge->GetTarget()->GetObject();
00071 karto::LinkInfo* pLinkInfo = (karto::LinkInfo*)(pEdge->GetLabel());
00072
00073 karto::Pose2 diff = pLinkInfo->GetPoseDifference();
00074 Eigen::Vector3d mean(diff.GetX(), diff.GetY(), diff.GetHeading());
00075
00076 karto::Matrix3 precisionMatrix = pLinkInfo->GetCovariance().Inverse();
00077 Eigen::Matrix<double,3,3> m;
00078 m(0,0) = precisionMatrix(0,0);
00079 m(0,1) = m(1,0) = precisionMatrix(0,1);
00080 m(0,2) = m(2,0) = precisionMatrix(0,2);
00081 m(1,1) = precisionMatrix(1,1);
00082 m(1,2) = m(2,1) = precisionMatrix(1,2);
00083 m(2,2) = precisionMatrix(2,2);
00084
00085 m_Spa.addConstraint(pSource->GetUniqueId(), pTarget->GetUniqueId(), mean, m);
00086 }