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); if (maxIterations > 0 && !i){ cerr << "optimize failed, result might be invalid" << endl; } if (laserOffset) { cerr << "Calibrated laser offset (x, y, theta):" << laserOffset->estimate().toVector().transpose() << endl; } if (odomParamsVertex) { cerr << "Odometry parameters (scaling factors (v_l, v_r, b)): " << odomParamsVertex->estimate().transpose() << endl; } cerr << "vertices: " << optimizer.vertices().size() << endl; cerr << "edges: " << optimizer.edges().size() << endl; if (dumpGraphFilename.size() > 0) { cerr << "Writing " << dumpGraphFilename << " ... "; optimizer.save(dumpGraphFilename.c_str()); cerr << "done." << endl; } // optional input of a seperate file for applying the odometry calibration if (odomTestFilename.size() > 0) { DataQueue testRobotLaserQueue; int numTestOdom = Gm2dlIO::readRobotLaser(odomTestFilename, testRobotLaserQueue); if (numTestOdom == 0) { cerr << "Unable to read test data" << endl; } else { ofstream rawStream("odometry_raw.txt"); ofstream calibratedStream("odometry_calibrated.txt"); const Vector3d& odomCalib = odomParamsVertex->estimate(); RobotLaser* prev = dynamic_cast<RobotLaser*>(testRobotLaserQueue.buffer().begin()->second); SE2 prevCalibratedPose = prev->odomPose(); for (DataQueue::Buffer::const_iterator it = testRobotLaserQueue.buffer().begin(); it != testRobotLaserQueue.buffer().end(); ++it) { RobotLaser* cur = dynamic_cast<RobotLaser*>(it->second); assert(cur); double dt = cur->timestamp() - prev->timestamp(); SE2 motion = prev->odomPose().inverse() * cur->odomPose(); // convert to velocity measurment MotionMeasurement motionMeasurement(motion.translation().x(), motion.translation().y(), motion.rotation().angle(), dt); VelocityMeasurement velocityMeasurement = OdomConvert::convertToVelocity(motionMeasurement); // apply calibration VelocityMeasurement calibratedVelocityMeasurment = velocityMeasurement; calibratedVelocityMeasurment.setVl(odomCalib(0) * calibratedVelocityMeasurment.vl()); calibratedVelocityMeasurment.setVr(odomCalib(1) * calibratedVelocityMeasurment.vr()); MotionMeasurement mm = OdomConvert::convertToMotion(calibratedVelocityMeasurment, odomCalib(2)); // combine calibrated odometry with the previous pose SE2 remappedOdom; remappedOdom.fromVector(mm.measurement()); SE2 calOdomPose = prevCalibratedPose * remappedOdom; // write output rawStream << prev->odomPose().translation().x() << " " << prev->odomPose().translation().y() << " " << prev->odomPose().rotation().angle() << endl; calibratedStream << calOdomPose.translation().x() << " " << calOdomPose.translation().y() << " " << calOdomPose.rotation().angle() << endl; prevCalibratedPose = calOdomPose; prev = cur; } } } if (outputfilename.size() > 0) { Gm2dlIO::updateLaserData(optimizer); cerr << "Writing " << outputfilename << " ... "; bool writeStatus = Gm2dlIO::writeGm2dl(outputfilename, optimizer); cerr << (writeStatus ? "done." : "failed") << endl; } return 0; }
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); allocateSolverForSclam(optimizer); // loading DataQueue odometryQueue; int numLaserOdom = Gm2dlIO::readRobotLaser(rawFilename, odometryQueue); if (numLaserOdom == 0) { cerr << "No raw information read" << endl; return 0; } cerr << "Read " << numLaserOdom << " laser readings from file" << endl; Eigen::Vector3d odomCalib(1., 1., 1.); SE2 initialLaserPose; DataQueue robotLaserQueue; int numRobotLaser = Gm2dlIO::readRobotLaser(inputFilename, robotLaserQueue); if (numRobotLaser == 0) { cerr << "No robot laser read" << endl; return 0; } else { RobotLaser* rl = dynamic_cast<RobotLaser*>(robotLaserQueue.buffer().begin()->second); initialLaserPose = rl->odomPose().inverse() * rl->laserPose(); cerr << PVAR(initialLaserPose.toVector().transpose()) << endl; } // adding the measurements vector<MotionInformation, Eigen::aligned_allocator<MotionInformation> > motions; { std::map<double, RobotData*>::const_iterator it = robotLaserQueue.buffer().begin(); std::map<double, RobotData*>::const_iterator prevIt = it++; for (; it != robotLaserQueue.buffer().end(); ++it) { MotionInformation mi; RobotLaser* prevLaser = dynamic_cast<RobotLaser*>(prevIt->second); RobotLaser* curLaser = dynamic_cast<RobotLaser*>(it->second); mi.laserMotion = prevLaser->laserPose().inverse() * curLaser->laserPose(); // get the motion of the robot in that time interval RobotLaser* prevOdom = dynamic_cast<RobotLaser*>(odometryQueue.findClosestData(prevLaser->timestamp())); RobotLaser* curOdom = dynamic_cast<RobotLaser*>(odometryQueue.findClosestData(curLaser->timestamp())); mi.odomMotion = prevOdom->odomPose().inverse() * curOdom->odomPose(); mi.timeInterval = prevOdom->timestamp() - curOdom->timestamp(); prevIt = it; motions.push_back(mi); } } 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 VertexSE2* laserOffset = new VertexSE2; laserOffset->setId(Gm2dlIO::ID_LASERPOSE); laserOffset->setEstimate(initialLaserPose); optimizer.addVertex(laserOffset); VertexBaseline* odomParamsVertex = new VertexBaseline; odomParamsVertex->setId(Gm2dlIO::ID_ODOMCALIB); odomParamsVertex->setEstimate(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; EdgeCalib* calibEdge = new EdgeCalib; 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 partial non-linear estimation" << endl; optimizer.initializeOptimization(); optimizer.computeActiveErrors(); optimizer.optimize(maxIterations); cerr << "Calibrated laser offset (x, y, theta):" << laserOffset->estimate().toVector().transpose() << endl; odomCalib(0) = -1. * linearSolution(0) * odomParamsVertex->estimate(); odomCalib(1) = linearSolution(1) * odomParamsVertex->estimate(); odomCalib(2) = odomParamsVertex->estimate(); cerr << "Odometry parameters (scaling factors (v_l, v_r, b)): " << odomCalib.transpose() << endl; { SE2 closedFormLaser; Eigen::Vector3d closedFormOdom; ClosedFormCalibration::calibrate(motions, closedFormLaser, closedFormOdom); cerr << "\nObtaining closed form solution" << endl; cerr << "Calibrated laser offset (x, y, theta):" << closedFormLaser.toVector().transpose() << endl; cerr << "Odometry parameters (scaling factors (v_l, v_r, b)): " << closedFormOdom.transpose() << endl; } if (dumpGraphFilename.size() > 0) { cerr << "Writing " << dumpGraphFilename << " ... "; optimizer.save(dumpGraphFilename.c_str()); cerr << "done." << endl; } // optional input of a separate file for applying the odometry calibration if (odomTestFilename.size() > 0) { DataQueue testRobotLaserQueue; int numTestOdom = Gm2dlIO::readRobotLaser(odomTestFilename, testRobotLaserQueue); if (numTestOdom == 0) { cerr << "Unable to read test data" << endl; } else { ofstream rawStream("odometry_raw.txt"); ofstream calibratedStream("odometry_calibrated.txt"); RobotLaser* prev = dynamic_cast<RobotLaser*>(testRobotLaserQueue.buffer().begin()->second); SE2 prevCalibratedPose = prev->odomPose(); for (DataQueue::Buffer::const_iterator it = testRobotLaserQueue.buffer().begin(); it != testRobotLaserQueue.buffer().end(); ++it) { RobotLaser* cur = dynamic_cast<RobotLaser*>(it->second); assert(cur); double dt = cur->timestamp() - prev->timestamp(); SE2 motion = prev->odomPose().inverse() * cur->odomPose(); // convert to velocity measurement MotionMeasurement motionMeasurement(motion.translation().x(), motion.translation().y(), motion.rotation().angle(), dt); VelocityMeasurement velocityMeasurement = OdomConvert::convertToVelocity(motionMeasurement); // apply calibration VelocityMeasurement calibratedVelocityMeasurment = velocityMeasurement; calibratedVelocityMeasurment.setVl(odomCalib(0) * calibratedVelocityMeasurment.vl()); calibratedVelocityMeasurment.setVr(odomCalib(1) * calibratedVelocityMeasurment.vr()); MotionMeasurement mm = OdomConvert::convertToMotion(calibratedVelocityMeasurment, odomCalib(2)); // combine calibrated odometry with the previous pose SE2 remappedOdom; remappedOdom.fromVector(mm.measurement()); SE2 calOdomPose = prevCalibratedPose * remappedOdom; // write output rawStream << prev->odomPose().translation().x() << " " << prev->odomPose().translation().y() << " " << prev->odomPose().rotation().angle() << endl; calibratedStream << calOdomPose.translation().x() << " " << calOdomPose.translation().y() << " " << calOdomPose.rotation().angle() << endl; prevCalibratedPose = calOdomPose; prev = cur; } } } return 0; }
int main(int argc, char** argv) { string rawFilename; bool use_viso = false; bool use_cfs = false; double init_x, init_y; cout << endl << "\033[32mA demo implementing the method of stereo-odo calibration.\033[0m" << endl << "* * * Author: \033[32mDoom @ ZJU.\033[0m" << endl << "Usage: sclam_odo_stereo_cal USE_VISO INPUT_FILENAME USE_CLOSEFORM" << endl << endl; if(argc < 2){ cout << "\033[33m[Warning]:No input directory name, using the default one : /home/doom/CSO/data/params.yaml\033[0m" << endl << endl; // Read in our param file CYaml::get().parseParamFile("/home/doom/CSO/data/params.yaml"); // Read in params use_viso = CYaml::get().general()["use_viso"].as<bool>(); rawFilename = CYaml::get().general()["data_folder"].as<std::string>(); use_cfs = CYaml::get().general()["use_closed_form"].as<bool>(); init_x = CYaml::get().general()["init_x"].as<double>(); init_y = CYaml::get().general()["init_y"].as<double>(); } else if(argc == 2){ cout << "\033[31mInput params file directory: \033[0m" << argv[1] << endl << endl; // Read in our param file CYaml::get().parseParamFile(argv[1]); // Read in params use_viso = CYaml::get().general()["use_viso"].as<bool>(); rawFilename = CYaml::get().general()["data_folder"].as<std::string>(); use_cfs = CYaml::get().general()["use_closed_form"].as<bool>(); init_x = CYaml::get().general()["init_x"].as<double>(); init_y = CYaml::get().general()["init_y"].as<double>(); } else { cerr << "\033[31m[FATAL]Bad parameters.\033[0m" << endl; return 1; } // construct a new optimizer SparseOptimizer optimizer; initOptimizer(optimizer); // read the times.txt, to determine how many pics in this directory. stringstream ss; ss << rawFilename << "/votimes.txt"; ifstream in(ss.str().c_str()); int Num = 0; vector<double> timeque; if(in.fail()) { cerr << "\033[1;31m[ERROR]Wrong foldername or no times.txt in this directory.\033[0m" << endl; return 1; } else { string stemp; getline(in, stemp, '\n'); while(in.good()){ Num++; getline(in, stemp, '\n'); } cout << "There are " << Num << " pics in this direcotory." << endl << endl; in.close(); in.open(ss.str().c_str()); double temp; for(int i = 0; i < Num; i++) { in >> temp; timeque.push_back(temp); } in.close(); } // loading odom data cerr << "\033[31mNow loading odometry data.\033[0m" << endl; string odomName = rawFilename + "/newodom.txt"; DataQueue odometryQueue; DataQueue stereovoQueue; SE2 init_offset; int numOdom = Gm2dlIO::readRobotOdom(odomName, odometryQueue); if (numOdom == 0) { cerr << "No raw information read" << endl; return 0; } cerr << "Done...Read " << numOdom << " odom readings from file" << endl << endl; // initial first stereo frame pose SE2 initialStereoPose; bool first = true; int numVo = 0; if(use_viso) { cout << "\033[31mUsing libviso...\033[0m" << rawFilename << endl; RobotOdom* ro = dynamic_cast<RobotOdom*>(odometryQueue.buffer().begin()->second); // init a libviso2 StereoVo viso(rawFilename, Num, ro, timeque); // get initial odometry pose in robot frame and stereo vo. viso.getInitStereoPose(initialStereoPose); numVo = viso.getMotion(stereovoQueue); cerr << "Done...There are " << numVo << " vo datas in the queue." << endl << endl; } else { cerr << "\033[31mLoading pose file...\033[0m" << endl; ss.str(""); ss << rawFilename << "/CameraTrajectory.txt"; in.open(ss.str().c_str()); int numVo = 0; Matrix4D posemat; for(int i = 0; i < Num; i++) { for(int j = 0; j < 4; j++) { for(int k = 0; k < 4; k++) in >> posemat(j, k); } if(first){ init_offset.setTranslation(Eigen::Vector2d(init_x, init_y)); init_offset.setRotation(Eigen::Rotation2Dd::Identity()); // SE2 x(posemat(2,3),-posemat(0,3),acos(posemat(0,0))); // RobotOdom* ro = dynamic_cast<RobotOdom*>(odometryQueue.buffer().begin()->second); initialStereoPose = init_offset; first = false; } // save stereo vo as robotOdom node. RobotOdom* tempVo = new RobotOdom; tempVo->setTimestamp(timeque[i]); SE2 x(posemat(2,3),-posemat(0,3),acos(posemat(0,0))); tempVo->setOdomPose(init_offset*x); stereovoQueue.add(tempVo); numVo++; } in.close(); cerr << "Done...There are " << numVo << " vo datas in the queue." << endl << endl; } // adding the measurements vector<MotionInformation, Eigen::aligned_allocator<MotionInformation> > motions; { std::map<double, RobotData*>::const_iterator it = stereovoQueue.buffer().begin(); std::map<double, RobotData*>::const_iterator prevIt = it++; for (; it != stereovoQueue.buffer().end(); ++it) { MotionInformation mi; RobotOdom* prevVo = dynamic_cast<RobotOdom*>(prevIt->second); RobotOdom* curVo = dynamic_cast<RobotOdom*>(it->second); mi.stereoMotion = prevVo->odomPose().inverse() * curVo->odomPose(); // get the motion of the robot in that time interval RobotOdom* prevOdom = dynamic_cast<RobotOdom*>(odometryQueue.findClosestData(prevVo->timestamp())); RobotOdom* curOdom = dynamic_cast<RobotOdom*>(odometryQueue.findClosestData(curVo->timestamp())); mi.odomMotion = prevOdom->odomPose().inverse() * curOdom->odomPose(); mi.timeInterval = prevOdom->timestamp() - curOdom->timestamp(); prevIt = it; motions.push_back(mi); } } // Construct the graph. cerr << "\033[31mConstruct the graph...\033[0m" << endl; // Vertex offset addVertexSE2(optimizer, initialStereoPose, 0); for(int i = 0; i < motions.size(); i++) { const SE2& odomMotion = motions[i].odomMotion; const SE2& stereoMotion = motions[i].stereoMotion; // add the edge // stereo vo and odom measurement. OdomAndStereoMotion meas; meas.StereoMotion = stereoMotion; meas.odomMotion = odomMotion; addEdgeCalib(optimizer, 0, meas, Eigen::Matrix3d::Identity()); } cerr << "Done..." << endl << endl; // if you want check the component of your graph, uncomment the CHECK_GRAPH #ifdef CHECK_GRAPH for(auto it:optimizer.edges()) { VertexSE2* v = static_cast<VertexSE2*>(it->vertex(0)); cout << v->id() << endl; } #endif // optimize. optimize(optimizer, 10); Eigen::Vector3d result = getEstimation(optimizer); cerr << "\033[1;32mCalibrated stereo offset (x, y, theta):\033[0m" << result[0] << " " << result [1] << " " << result[2] << endl << endl; // If you want see how's its closed form solution, uncomment the CLOSED_FORM if(use_cfs){ cerr << "\033[31mPerforming the closed form solution...\033[0m" << endl; SE2 closedFormStereo; ClosedFormCalibration::calibrate(motions, closedFormStereo); cerr << "\033[1;32mDone... closed form Calibrated stereo offset (x, y, theta):\033[0m" << closedFormStereo.toVector().transpose() << endl; } return 0; }