C++ VertexSE2::setFixed方法代码示例

void Localization::InitG2OGraph()
{
	optimizer.clear();
	LandmarkCount = 0;

	{
		VertexSE2 * l = new VertexSE2;
		l->setEstimate(Eigen::Vector3d(0, 0, 0));
		l->setFixed(true);
		l->setId(CenterL);
		optimizer.addVertex(l);
		LandmarkCount++;
	}
	{
		VertexSE2 * l = new VertexSE2;
		l->setEstimate(Eigen::Vector3d(A2, 0, 0));
		l->setFixed(true);
		l->setId(FrontL);
		optimizer.addVertex(l);
		LandmarkCount++;
	}
	{
		VertexSE2 * l = new VertexSE2;
		l->setEstimate(Eigen::Vector3d(-A2, 0, 0));
		l->setFixed(true);
		l->setId(BackL);
		optimizer.addVertex(l);
		LandmarkCount++;
	}
	{
		VertexSE2 * l = new VertexSE2;
		l->setEstimate(Eigen::Vector3d(0, -B2, 0));
		l->setFixed(true);
		l->setId(RightL);
		optimizer.addVertex(l);
		LandmarkCount++;
	}
	{
		VertexSE2 * l = new VertexSE2;
		l->setEstimate(Eigen::Vector3d(0, B2, 0));
		l->setFixed(true);
		l->setId(LeftL);
		optimizer.addVertex(l);
		LandmarkCount++;
	}
	PreviousVertexId = -1;
	CurrentVertexId = LandmarkCount;
	{
		VertexSE2 * l = new VertexSE2;
		l->setEstimate(
				Eigen::Vector3d(location.x, location.y, 0));
		l->setFixed(false);
		l->setId(LandmarkCount);
		optimizer.addVertex(l);
	}
}

	inline void updateVertexIdx()
	{
		if ((ros::Time::now() - lastSavedNodeTime).toSec() >= 0.03)
		{
			nodeCounter++;
			lastSavedNodeTime = ros::Time::now();
			PreviousVertexId = CurrentVertexId;
			CurrentVertexId++;
			if (CurrentVertexId - LandmarkCount >= 100)
			{
				CurrentVertexId = LandmarkCount;
			}

			{
				VertexSE2 * r = new VertexSE2;
				r->setEstimate(Eigen::Vector3d(location.x, location.y, 0));
				r->setFixed(false);
				r->setId(CurrentVertexId);
				if (optimizer.vertex(CurrentVertexId) != NULL)
				{
					optimizer.removeVertex(optimizer.vertex(CurrentVertexId));
				}

				optimizer.addVertex(r);
			}

			{
				EdgeSE2 * e = new EdgeSE2;
				e->vertices()[0] = optimizer.vertex(PreviousVertexId);
				e->vertices()[1] = optimizer.vertex(CurrentVertexId);
				Point2d dead_reck = getOdometryFromLastGet();
				e->setMeasurement(SE2(dead_reck.x, dead_reck.y, 0));
				Matrix3d information;
				information.fill(0.);
				information(0, 0) = 200;
				information(1, 1) = 200;
				information(2, 2) = 1;
				e->setInformation(information);
				optimizer.addEdge(e);
			}
		}
	}

//.........这里部分代码省略.........
  }

  if (1) {
    VertexSE2* laserOffset = new VertexSE2;
    laserOffset->setId(Gm2dlIO::ID_LASERPOSE);
    laserOffset->setEstimate(initialLaserPose);
    optimizer.addVertex(laserOffset);
    VertexOdomDifferentialParams* odomParamsVertex = new VertexOdomDifferentialParams;
    odomParamsVertex->setId(Gm2dlIO::ID_ODOMCALIB);
    odomParamsVertex->setEstimate(Eigen::Vector3d(1., 1., 1.));
    optimizer.addVertex(odomParamsVertex);
    for (size_t i = 0; i < motions.size(); ++i) {
      const SE2& odomMotion = motions[i].odomMotion;
      const SE2& laserMotion = motions[i].laserMotion;
      const double& timeInterval = motions[i].timeInterval;
      // add the edge
      MotionMeasurement mm(odomMotion.translation().x(), odomMotion.translation().y(), odomMotion.rotation().angle(), timeInterval);
      OdomAndLaserMotion meas;
      meas.velocityMeasurement = OdomConvert::convertToVelocity(mm);
      meas.laserMotion = laserMotion;
      EdgeSE2PureCalib* calibEdge = new EdgeSE2PureCalib;
      calibEdge->setVertex(0, laserOffset);
      calibEdge->setVertex(1, odomParamsVertex);
      calibEdge->setInformation(Eigen::Matrix3d::Identity());
      calibEdge->setMeasurement(meas);
      if (! optimizer.addEdge(calibEdge)) {
        cerr << "Error adding calib edge" << endl;
        delete calibEdge;
      }
    }

    if (fixLaser) {
      cerr << "Fix position of the laser offset" << endl;
      laserOffset->setFixed(true);
    }

    cerr << "\nPerforming full non-linear estimation" << endl;
    optimizer.initializeOptimization();
    optimizer.computeActiveErrors();
    optimizer.optimize(maxIterations);
    cerr << "Calibrated laser offset (x, y, theta):" << laserOffset->estimate().toVector().transpose() << endl;
    odomCalib = odomParamsVertex->estimate();
    cerr << "Odometry parameters (scaling factors (v_l, v_r, b)): " << odomParamsVertex->estimate().transpose() << endl;
    optimizer.clear();
  }

  // linear least squares for some parameters
  {
    Eigen::MatrixXd A(motions.size(), 2);
    Eigen::VectorXd x(motions.size());
    for (size_t i = 0; i < motions.size(); ++i) {
      const SE2& odomMotion = motions[i].odomMotion;
      const SE2& laserMotion = motions[i].laserMotion;
      const double& timeInterval = motions[i].timeInterval;
      MotionMeasurement mm(odomMotion.translation().x(), odomMotion.translation().y(), odomMotion.rotation().angle(), timeInterval);
      VelocityMeasurement velMeas = OdomConvert::convertToVelocity(mm);
      A(i, 0) = velMeas.vl() * timeInterval;
      A(i, 1) = velMeas.vr() * timeInterval;
      x(i) = laserMotion.rotation().angle();
    }
    //linearSolution = (A.transpose() * A).inverse() * A.transpose() * x;
    linearSolution = A.colPivHouseholderQr().solve(x);
    //cout << PVAR(linearSolution.transpose()) << endl;
  }

  //constructing non-linear least squares

int main(int argc, char** argv)
{
  bool fixLaser;
  int maxIterations;
  bool verbose;
  string inputFilename;
  string outputfilename;
  string rawFilename;
  string odomTestFilename;
  string dumpGraphFilename;
  // command line parsing
  CommandArgs commandLineArguments;
  commandLineArguments.param("i", maxIterations, 10, "perform n iterations");
  commandLineArguments.param("v", verbose, false, "verbose output of the optimization process");
  commandLineArguments.param("o", outputfilename, "", "output final version of the graph");
  commandLineArguments.param("test", odomTestFilename, "", "apply odometry calibration to some test data");
  commandLineArguments.param("dump", dumpGraphFilename, "", "write the graph to the disk");
  commandLineArguments.param("fixLaser", fixLaser, false, "keep the laser offset fixed during optimization");
  commandLineArguments.paramLeftOver("gm2dl-input", inputFilename, "", "gm2dl file which will be processed");
  commandLineArguments.paramLeftOver("raw-log", rawFilename, "", "raw log file containing the odometry");

  commandLineArguments.parseArgs(argc, argv);

  SparseOptimizer optimizer;
  optimizer.setVerbose(verbose);
  optimizer.setForceStopFlag(&hasToStop);

  allocateSolverForSclam(optimizer);

  // loading
  if (! Gm2dlIO::readGm2dl(inputFilename, optimizer, false)) {
    cerr << "Error while loading gm2dl file" << endl;
  }
  DataQueue robotLaserQueue;
  int numLaserOdom = Gm2dlIO::readRobotLaser(rawFilename, robotLaserQueue);
  if (numLaserOdom == 0) {
    cerr << "No raw information read" << endl;
    return 0;
  }
  cerr << "Read " << numLaserOdom << " laser readings from file" << endl;

  bool gaugeFreedom = optimizer.gaugeFreedom();

  OptimizableGraph::Vertex* gauge = optimizer.findGauge();
  if (gaugeFreedom) {
    if (! gauge) {
      cerr <<  "# cannot find a vertex to fix in this thing" << endl;
      return 2;
    } else {
      cerr << "# graph is fixed by node " << gauge->id() << endl;
      gauge->setFixed(true);
    }
  } else {
    cerr << "# graph is fixed by priors" << endl;
  }

  addOdometryCalibLinksDifferential(optimizer, robotLaserQueue);

  // sanity check
  HyperDijkstra d(&optimizer);
  UniformCostFunction f;
  d.shortestPaths(gauge, &f);
  //cerr << PVAR(d.visited().size()) << endl;

  if (d.visited().size()!=optimizer.vertices().size()) {
    cerr << CL_RED("Warning: d.visited().size() != optimizer.vertices().size()") << endl;
    cerr << "visited: " << d.visited().size() << endl;
    cerr << "vertices: " << optimizer.vertices().size() << endl;
    if (1)
      for (SparseOptimizer::VertexIDMap::const_iterator it = optimizer.vertices().begin(); it != optimizer.vertices().end(); ++it) {
        OptimizableGraph::Vertex* v = static_cast<OptimizableGraph::Vertex*>(it->second);
        if (d.visited().count(v) == 0) {
          cerr << "\t unvisited vertex " << it->first << " " << (void*)v << endl;
          v->setFixed(true);
        }
      }
  }

  for (SparseOptimizer::VertexIDMap::const_iterator it = optimizer.vertices().begin(); it != optimizer.vertices().end(); ++it) {
    OptimizableGraph::Vertex* v = static_cast<OptimizableGraph::Vertex*>(it->second);
    if (v->fixed()) {
      cerr << "\t fixed vertex " << it->first << endl;
    }
  }

  VertexSE2* laserOffset = dynamic_cast<VertexSE2*>(optimizer.vertex(Gm2dlIO::ID_LASERPOSE));
  VertexOdomDifferentialParams* odomParamsVertex = dynamic_cast<VertexOdomDifferentialParams*>(optimizer.vertex(Gm2dlIO::ID_ODOMCALIB));

  if (fixLaser) {
    cerr << "Fix position of the laser offset" << endl;
    laserOffset->setFixed(true);
  }

  signal(SIGINT, sigquit_handler);
  cerr << "Doing full estimation" << endl;
  optimizer.initializeOptimization();
  optimizer.computeActiveErrors();
  cerr << "Initial chi2 = " << FIXED(optimizer.chi2()) << endl;

  int i=optimizer.optimize(maxIterations);
//.........这里部分代码省略.........