/* ---------------------------------------------------------------------------- * GTSAM Copyright 2010, Georgia Tech Research Corporation, * Atlanta, Georgia 30332-0415 * All Rights Reserved * Authors: Frank Dellaert, et al. (see THANKS for the full author list) * See LICENSE for the license information * -------------------------------------------------------------------------- */ /** * @file Pose3SLAMExample_initializePose3.cpp * @brief A 3D Pose SLAM example that reads input from g2o, and initializes the Pose3 using InitializePose3 * Syntax for the script is ./Pose3SLAMExample_initializePose3 input.g2o output.g2o * @date Aug 25, 2014 * @author Luca Carlone */ #include #include #include #include #include using namespace std; using namespace gtsam; int main(const int argc, const char *argv[]) { // Read graph from file string g2oFile; if (argc < 2) g2oFile = findExampleDataFile("pose3example.txt"); else g2oFile = argv[1]; NonlinearFactorGraph::shared_ptr graph; Values::shared_ptr initial; bool is3D = true; boost::tie(graph, initial) = readG2o(g2oFile, is3D); // Add prior on the first key NonlinearFactorGraph graphWithPrior = *graph; noiseModel::Diagonal::shared_ptr priorModel = // noiseModel::Diagonal::Variances((Vector(6) << 0.1, 0.1, 0.1, 0.01, 0.01, 0.01)); Key firstKey = 0; BOOST_FOREACH(const Values::ConstKeyValuePair& key_value, *initial) { std::cout << "Adding prior to g2o file " << std::endl; firstKey = key_value.key; graphWithPrior.add(PriorFactor(firstKey, Pose3(), priorModel)); break; } std::cout << "Initializing Pose3 - Riemannian gradient" << std::endl; bool useGradient = true; Values initialization = InitializePose3::initialize(graphWithPrior, *initial, useGradient); std::cout << "done!" << std::endl; if (argc < 3) { initialization.print("initialization"); } else { const string outputFile = argv[2]; std::cout << "Writing results to file: " << outputFile << std::endl; writeG2o(*graph, initialization, outputFile); std::cout << "done! " << std::endl; } return 0; }