sclam_helpers.cpp

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// g2o - General Graph Optimization
// Copyright (C) 2011 R. Kuemmerle, G.Grisetti, W. Burgard
// 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.
//
// 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,
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#include "sclam_helpers.h"
 
#include <iostream>
 
#include "g2o/core/block_solver.h"
#include "g2o/core/optimization_algorithm_gauss_newton.h"
#include "g2o/core/optimization_algorithm_levenberg.h"
#include "g2o/core/sparse_optimizer.h"
#include "g2o/solvers/eigen/linear_solver_eigen.h"
#include "g2o/types/data/data_queue.h"
#include "g2o/types/data/robot_laser.h"
#include "g2o/types/sclam2d/edge_se2_odom_differential_calib.h"
#include "g2o/types/sclam2d/edge_se2_sensor_calib.h"
#include "g2o/types/sclam2d/odometry_measurement.h"
#include "g2o/types/sclam2d/vertex_odom_differential_params.h"
#include "gm2dl_io.h"
using namespace std;
using namespace Eigen;
 
namespace g2o {
 
static const double INFORMATION_SCALING_ODOMETRY = 100;
 
void addOdometryCalibLinksDifferential(SparseOptimizer& optimizer,
                                       const DataQueue& odomData) {
  SparseOptimizer::Vertex* odomParamsVertex = 0;
  odomParamsVertex = new VertexOdomDifferentialParams;
  odomParamsVertex->setToOrigin();
  odomParamsVertex->setId(Gm2dlIO::ID_ODOMCALIB);
  optimizer.addVertex(odomParamsVertex);
 
  SparseOptimizer::EdgeSet odomCalibEdges;
  for (SparseOptimizer::EdgeSet::const_iterator it = optimizer.edges().begin();
       it != optimizer.edges().end(); ++it) {
    EdgeSE2SensorCalib* scanmatchEdge = dynamic_cast<EdgeSE2SensorCalib*>(*it);
    if (!scanmatchEdge) continue;
 
    VertexSE2* r1 = dynamic_cast<VertexSE2*>(scanmatchEdge->vertices()[0]);
    VertexSE2* r2 = dynamic_cast<VertexSE2*>(scanmatchEdge->vertices()[1]);
    if (r2->id() - r1->id() != 1) {  // ignore non-incremental edges
      continue;
    }
 
    RobotLaser* rl1 = dynamic_cast<RobotLaser*>(r1->userData());
    RobotLaser* rl2 = dynamic_cast<RobotLaser*>(r2->userData());
    RobotLaser* odom1 =
        dynamic_cast<RobotLaser*>(odomData.findClosestData(rl1->timestamp()));
    RobotLaser* odom2 =
        dynamic_cast<RobotLaser*>(odomData.findClosestData(rl2->timestamp()));
 
    if (fabs(rl1->timestamp() - rl2->timestamp()) < 1e-7) {
      cerr << "strange edge " << r1->id() << " <-> " << r2->id() << endl;
      cerr << FIXED(PVAR(rl1->timestamp()) << "\t " << PVAR(rl2->timestamp()))
           << endl;
      cerr << FIXED(PVAR(odom1->timestamp())
                    << "\t " << PVAR(odom2->timestamp()))
           << endl;
    }
 
    // cerr << PVAR(odom1->odomPose().toVector().transpose()) << endl;
 
    SE2 odomMotion = odom1->odomPose().inverse() * odom2->odomPose();
    // cerr << PVAR(odomMotion.toVector().transpose()) << endl;
    // cerr << PVAR(scanmatchEdge->measurement().toVector().transpose()) <<
    // endl;
 
    EdgeSE2OdomDifferentialCalib* e = new EdgeSE2OdomDifferentialCalib;
    e->vertices()[0] = r1;
    e->vertices()[1] = r2;
    e->vertices()[2] = odomParamsVertex;
 
    MotionMeasurement mm(
        odomMotion.translation().x(), odomMotion.translation().y(),
        odomMotion.rotation().angle(), odom2->timestamp() - odom1->timestamp());
    e->setMeasurement(OdomConvert::convertToVelocity(mm));
    // cerr << PVAR(e->measurement()) << endl;
 
    e->information() = Matrix3d::Identity() * INFORMATION_SCALING_ODOMETRY;
    odomCalibEdges.insert(e);
  }
 
  for (SparseOptimizer::EdgeSet::iterator it = odomCalibEdges.begin();
       it != odomCalibEdges.end(); ++it)
    optimizer.addEdge(dynamic_cast<OptimizableGraph::Edge*>(*it));
}
 
void allocateSolverForSclam(SparseOptimizer& optimizer, bool levenberg) {
  typedef BlockSolver<BlockSolverTraits<-1, -1> > SclamBlockSolver;
  typedef LinearSolverEigen<SclamBlockSolver::PoseMatrixType> SclamLinearSolver;
 
  std::unique_ptr<SclamLinearSolver> linearSolver =
      std::make_unique<SclamLinearSolver>();
  linearSolver->setBlockOrdering(false);
  OptimizationAlgorithm* solver = 0;
  if (levenberg) {
    solver = new OptimizationAlgorithmLevenberg(
        std::make_unique<SclamBlockSolver>(std::move(linearSolver)));
  } else {
    solver = new OptimizationAlgorithmGaussNewton(
        std::make_unique<SclamBlockSolver>(std::move(linearSolver)));
  }
  optimizer.setAlgorithm(solver);
}
 
}  // namespace g2o