112 lines
4.0 KiB
C++
112 lines
4.0 KiB
C++
/* ----------------------------------------------------------------------------
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* GTSAM Copyright 2010, Georgia Tech Research Corporation,
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* Atlanta, Georgia 30332-0415
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* All Rights Reserved
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* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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* See LICENSE for the license information
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* -------------------------------------------------------------------------- */
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/**
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* @file SteroVOExample.cpp
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* @brief A stereo visual odometry example
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* @date May 25, 2014
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* @author Stephen Camp
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*/
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/**
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* A 3D stereo visual odometry example
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* - robot starts at origin
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* -moves forward, taking periodic stereo measurements
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* -takes stereo readings of many landmarks
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*/
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#include <gtsam/geometry/Pose3.h>
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#include <gtsam/inference/Key.h>
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#include <gtsam/nonlinear/NonlinearFactorGraph.h>
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#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
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#include <gtsam/nonlinear/Marginals.h>
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#include <gtsam/nonlinear/Values.h>
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#include <gtsam/geometry/Cal3_S2Stereo.h>
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#include <gtsam/slam/StereoFactor.h>
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#include <gtsam/nonlinear/NonlinearEquality.h>
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#include <gtsam/inference/Symbol.h>
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#include <fstream>
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#include <iostream>
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#include <sstream>
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#include <string>
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using namespace std;
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using namespace gtsam;
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int main(int argc, char** argv){
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NonlinearFactorGraph graph;
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const noiseModel::Isotropic::shared_ptr model = noiseModel::Isotropic::Sigma(3,1);
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Values initial_estimate = Values();
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vector<double> read_vector;
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string read_string, parse_string;
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string data_folder = "C:/Users/Stephen/Documents/Borg/gtsam/Examples/Data/";
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string calibration_loc = data_folder + "VO_calibration.txt";
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string pose_loc = data_folder + "VO_camera_poses_large.txt";
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string factor_loc = data_folder + "VO_stereo_factors_large.txt";
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//read camera calibration info from file
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double fx,fy,s,u,v,b;
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ifstream calibration_file(calibration_loc);
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cout << "Reading calibration info" << endl;
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calibration_file >> fx >> fy >> s >> u >> v >> b;
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//create stereo camera calibration object
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const Cal3_S2Stereo::shared_ptr K(new Cal3_S2Stereo(fx,fy,s,u,v,b));
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ifstream pose_file(pose_loc);
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cout << "Reading camera poses" << endl;
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int pose_id;
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MatrixRowMajor m(4,4);
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//read camera pose parameters and use to make initial estimates of camera poses
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while (pose_file >> pose_id) {
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for (int i = 0; i < 16; i++) {
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pose_file >> m.data()[i];
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}
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initial_estimate.insert(Symbol('x', pose_id), Pose3(m));
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}
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double x, l, uL, uR, v, X, Y, Z;
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ifstream factor_file(factor_loc);
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cout << "Reading stereo factors" << endl;
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//read stereo measurement details from file and use to create and add GenericStereoFactor objects to the graph representation
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while (factor_file >> x >> l >> uL >> uR >> v >> X >> Y >> Z) {
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graph.push_back(
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GenericStereoFactor<Pose3,Point3>(StereoPoint2(uL, uR, v), model,
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Symbol('x', x), Symbol('l', l), K));
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//if the landmark variable included in this factor has not yet been added to the initial variable value estimate, add it
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if(!initial_estimate.exists(Symbol('l',l))){
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Pose3 camPose = initial_estimate.at<Pose3>(Symbol('x', x));
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//transform_from() transforms the input Point3 from the camera pose space, camPose, to the global space
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Point3 worldPoint = camPose.transform_from(Point3(X,Y,Z));
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initial_estimate.insert(Symbol('l',l),worldPoint);
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}
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}
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Pose3 first_pose = initial_estimate.at<Pose3>(Symbol('x',1));
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first_pose.print("Check estimate poses:\n");
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//constrain the first pose such that it cannot change from its original value during optimization
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graph.push_back(NonlinearEquality<Pose3>(Symbol('x',1),first_pose));
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cout << "Optimizing" << endl;
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//create Levenberg-Marquardt optimizer to solve the initial factor graph estimate
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LevenbergMarquardtOptimizer optimizer = LevenbergMarquardtOptimizer(graph, initial_estimate);
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Values result = optimizer.optimize();
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cout << "Final result sample:" << endl;
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Values pose_values = result.filter<Pose3>();
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pose_values.print("Final camera poses:\n");
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return 0;
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} |