/* * elch6Dquat implementation * * Copyright (C) Jochen Sprickerhof * * Released under the GPL version 3. * */ /** * @file ELCH implementation using Quaternions * @author Jochen Sprickerhof. Institute of Computer Science, University of Osnabrueck, Germany. */ #include "slam6d/elch6Dquat.h" #include "slam6d/metaScan.h" #include "slam6d/lum6Dquat.h" #include "slam6d/globals.icc" #include using std::cout; using std::cerr; using std::endl; #include using std::ofstream; #include using boost::graph_traits; using namespace NEWMAT; #ifdef _MSC_VER #define tie tr1::tie #endif /** * ELCH loop closing function using Quaternions * matches first and last scan of a loop with ICP * distributes the error * * @param allScans all laser scans * @param first index of first laser scan in the loop * @param last indes of last laser scan in the loop * @param g graph for loop optimization */ void elch6Dquat::close_loop(const vector &allScans, int first, int last, graph_t &g) { int n = num_vertices(g); graph_t grb[7]; Matrix C(7, 7); graph_traits ::edge_iterator ei, ei_end; for(tie(ei, ei_end) = edges(g); ei != ei_end; ei++) { int from = source(*ei, g); int to = target(*ei, g); lum6DQuat::covarianceQuat(allScans[from], allScans[to], my_icp6D->get_nns_method(), my_icp6D->get_rnd(), my_icp6D->get_max_dist_match2(), &C); C = C.i(); for(int j = 0; j < 7; j++) { add_edge(from, to, fabs(C(j + 1, j + 1)), grb[j]); } } double *weights[7]; for(int i = 0; i < 7; i++) { weights[i] = new double[n]; graph_balancer(grb[i], first, last, weights[i]); } vector meta_start; meta_start.push_back(allScans[first]); meta_start.push_back(allScans[first + 1]); meta_start.push_back(allScans[first + 2]); MetaScan *start = new MetaScan(meta_start, false, false); vector meta_end; meta_end.push_back(allScans[last - 2]); meta_end.push_back(allScans[last - 1]); meta_end.push_back(allScans[last]); MetaScan *end = new MetaScan(meta_end, false, false); for(int i = last - 2; i <= last; i++) { for(int j = 0; j < 7; j++) { weights[j][i] = 0.0; } } double delta[7]; delta[0] = allScans[last]->get_rPos()[0]; delta[1] = allScans[last]->get_rPos()[1]; delta[2] = allScans[last]->get_rPos()[2]; delta[3] = allScans[last]->get_rPosQuat()[0]; delta[4] = allScans[last]->get_rPosQuat()[1]; delta[5] = allScans[last]->get_rPosQuat()[2]; delta[6] = allScans[last]->get_rPosQuat()[3]; my_icp6D->match(start, end); delete start; delete end; delta[0] = allScans[last]->get_rPos()[0] - delta[0]; delta[1] = allScans[last]->get_rPos()[1] - delta[1]; delta[2] = allScans[last]->get_rPos()[2] - delta[2]; delta[3] = allScans[last]->get_rPosQuat()[0] - delta[3]; delta[4] = allScans[last]->get_rPosQuat()[1] - delta[4]; delta[5] = allScans[last]->get_rPosQuat()[2] - delta[5]; delta[6] = allScans[last]->get_rPosQuat()[3] - delta[6]; if(!quiet) { double axisangle[4]; axisangle[0] = delta[3]; axisangle[1] = delta[4]; axisangle[2] = delta[5]; axisangle[3] = delta[6]; QuatToAA(axisangle); cout << "Delta: " << delta[0] << " " << delta[1] << " " << delta[2] << " " << axisangle[0] << " " << axisangle[1] << " " << axisangle[2] << " " << axisangle[3] << endl; } double rPos[3], rPosQuat[4]; for(int i = 1; i < n; i++) { rPos[0] = allScans[i]->get_rPos()[0] + delta[0] * (weights[0][i] - weights[0][0]); rPos[1] = allScans[i]->get_rPos()[1] + delta[1] * (weights[1][i] - weights[1][0]); rPos[2] = allScans[i]->get_rPos()[2] + delta[2] * (weights[2][i] - weights[2][0]); rPosQuat[0] = allScans[i]->get_rPosQuat()[0] + delta[3] * (weights[3][i] - weights[3][0]); rPosQuat[1] = allScans[i]->get_rPosQuat()[1] + delta[4] * (weights[4][i] - weights[4][0]); rPosQuat[2] = allScans[i]->get_rPosQuat()[2] + delta[5] * (weights[5][i] - weights[5][0]); rPosQuat[3] = allScans[i]->get_rPosQuat()[3] + delta[6] * (weights[6][i] - weights[6][0]); Normalize4(rPosQuat); allScans[i]->transformToQuat(rPos, rPosQuat, Scan::ELCH, i == n-1 ? 2 : 1); } for(int i = 0; i < 7; i++) { delete [] weights[i]; } }