/* * COPYRIGHT AND PERMISSION NOTICE * Penn Software MSCKF_VIO * Copyright (C) 2017 The Trustees of the University of Pennsylvania * All rights reserved. */ #include #include #include #include #include #include #include #include #include #include using namespace std; using namespace Eigen; using namespace msckf_vio; // Static member variables in CAMState class Isometry3d CAMState::T_cam0_cam1 = Isometry3d::Identity(); // Static member variables in Feature class Feature::OptimizationConfig Feature::optimization_config; TEST(FeatureInitializeTest, sphereDistribution) { // Set the real feature at the origin of the world frame. Vector3d feature(0.5, 0.0, 0.0); // Add 6 camera poses, all of which are able to see the // feature at the origin. For simplicity, the six camera // view are located at the six intersections between a // unit sphere and the coordinate system. And the z axes // of the camera frames are facing the origin. vector cam_poses(6); // Positive x axis. cam_poses[0].linear() << 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0; cam_poses[0].translation() << 1.0, 0.0, 0.0; // Positive y axis. cam_poses[1].linear() << -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0; cam_poses[1].translation() << 0.0, 1.0, 0.0; // Negative x axis. cam_poses[2].linear() << 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0; cam_poses[2].translation() << -1.0, 0.0, 0.0; // Negative y axis. cam_poses[3].linear() << 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0; cam_poses[3].translation() << 0.0, -1.0, 0.0; // Positive z axis. cam_poses[4].linear() << 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0; cam_poses[4].translation() << 0.0, 0.0, 1.0; // Negative z axis. cam_poses[5].linear() << 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0; cam_poses[5].translation() << 0.0, 0.0, -1.0; // Set the camera states CamStateServer cam_states; for (int i = 0; i < 6; ++i) { CAMState new_cam_state; new_cam_state.id = i; new_cam_state.time = static_cast(i); new_cam_state.orientation = rotationToQuaternion( Matrix3d(cam_poses[i].linear().transpose())); new_cam_state.position = cam_poses[i].translation(); cam_states[new_cam_state.id] = new_cam_state; } // Compute measurements. random_numbers::RandomNumberGenerator noise_generator; vector > measurements(6); for (int i = 0; i < 6; ++i) { Isometry3d cam_pose_inv = cam_poses[i].inverse(); Vector3d p = cam_pose_inv.linear()*feature + cam_pose_inv.translation(); double u = p(0) / p(2) + noise_generator.gaussian(0.0, 0.01); double v = p(1) / p(2) + noise_generator.gaussian(0.0, 0.01); //double u = p(0) / p(2); //double v = p(1) / p(2); measurements[i] = Vector4d(u, v, u, v); } for (int i = 0; i < 6; ++i) { cout << "pose " << i << ":" << endl; cout << "orientation: " << endl; cout << cam_poses[i].linear() << endl; cout << "translation: " << endl; cout << cam_poses[i].translation().transpose() << endl; cout << "measurement: " << endl; cout << measurements[i].transpose() << endl; cout << endl; } // Initialize a feature object. Feature feature_object; for (int i = 0; i < 6; ++i) feature_object.observations[i] = measurements[i]; // Compute the 3d position of the feature. feature_object.initializePosition(cam_states); // Check the difference between the computed 3d // feature position and the groud truth. cout << "ground truth position: " << feature.transpose() << endl; cout << "estimated position: " << feature_object.position.transpose() << endl; Eigen::Vector3d error = feature_object.position - feature; EXPECT_NEAR(error.norm(), 0, 0.05); } int main(int argc, char** argv) { testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); }