1 |
Lynen, S., Achtelik, M. W., Weiss, S. and Chli, M. and Siegwart, R., "A Robust and Modular Multi-sensor Fusion Approach Applied to MAV Navigation", IEEE International Conference on Intelligent Robots and Systems, pp. 3923-3929, 2013.
|
2 |
Thrun, S., "A Probabilistic On-line Mapping Algorithm for Teams of Mobile Robots", Int. J. Rob. Res., Vol. 20, pp. 335-363, 2001.
DOI
|
3 |
Brown, M., Image Stitching, Computer Vision, 2020.
|
4 |
Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., Wheeler, R. and Ng, A. Y., "ROS: An Open-source Robot Operating System", ICRA workshop on open source software, 2009.
|
5 |
Fox, D., Thrun, S., Burgard, W. and Dellaert, F., Particle Filters for Mobile Robot Localization, Sequential Monte Carlo Methods in Practice, 2001.
|
6 |
Kuruppu, G., Manoj, C., Kodituwakku, S. R. and Pinidiyaarachchi, U. A. J., "Comparison of Different Template Matching Algorithms in High Speed Sports Motion Tracking", IEEE 8th Int. Conf. Ind. Inf. Syst., pp. 445-448, 2013.
|
7 |
Queralta, J. P., Taipalmaa, J., Pullinen, B. C., Sarker, V. K., Gia, T. N., Tenhunen, H., Gabbouj, M., Raitoharju, J. and Westerlund, T., Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception, pp. 1-28, 2020.
|
8 |
Strasdat, H.; Montiel, J.M.M.; Davison, A.J. Scale drift-aware large scale monocular SLAM. In Proceedings of the Robotics: Science and Systems; MIT Press Journals, 2011; Vol. 6, pp. 73-80.
|
9 |
Zhao, Y., Liu, G., Tian, G., Luo, Y., Wang, Z., Zhang, W. and Li, J., "A Survey of Visual SLAM Based on Deep Learning", Jiqiren/Robot, 2017.
|
10 |
Lee, J. H., Lee, S., Zhang, G., Lim, J., Chung, W. K. and Suh, I. H., "Outdoor Place Recognition in Urban Environments using Straight Lines", IEEE International Conference on Robotics and Automation, pp. 5550-5557, 2014.
|
11 |
Huang, B., Zhao, J. and Liu, J., A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks, pp. 1-17, 2019.
|
12 |
Murphy, R. R., Tadokoro, S. and Kleiner, A., Disaster Robotics, Springer Handbook of Robotics, 2016.
|
13 |
Gautam, A. and Mohan, S., "A Review of Research in Multi-robot Systems", In Proceedings of the 2012 IEEE 7th International Conference on Industrial and Information Systems, 2012.
|
14 |
Akin, H. L., Ito, N., Jacoff, A., Kleiner, A., Pellenz, J. and Visser, A., RoboCup rescue robot and simulation leagues. AI Mag. Vol. 34, pp. 78-86, 2013.
DOI
|
15 |
Nam, T. H., Shim, J. H. and Cho, Y. I., "A 2.5D Map-based Mobile Robot Localization via Cooperation of Aerial and Ground Robots", Sensors(Switzerland), Vol. 17, pp. 1-24, 2017.
DOI
|
16 |
Stachniss, C., Leonard, J. J. and Thrun, S., Simultaneous Localization and Mapping, Springer Handbook of Robotics; 2016.
|
17 |
Filipenko, M. and Afanasyev, I., "Comparison of Various SLAM Systems for Mobile Robot in an Indoor Environment", Proceedings of the 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, 2018.
|
18 |
He, M., Zhu, C., Huang, Q., Ren, B. and Liu, J., "A review of monocular visual odometry", Vis. Comput., Vol. 36, pp. 1053-1065, 2020.
DOI
|
19 |
Mur-Artal, R. and Tardos, J. D., "ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras", IEEE Trans. Robot. Vol. 33, pp. 1255-1262, 2017.
DOI
|
20 |
Mourikis, A. I. and Roumeliotis, S. I., "A Multi-state Constraint Kalman Filter for Vision-aided Inertial Navigation", IEEE International Conference on Robotics and Automation, pp. 3565-3572, 2007.
|
21 |
Bloesch, M., Omari, S., Hutter, M. and Siegwart, R., "Robust Visual Inertial Odometry using a Direct EKF-based Approach", IEEE International Conference on Intelligent Robots and Systems; pp. 298-304, 2015.
|
22 |
Engel, J., Koltun, V. and Cremers, D., "Direct Sparse Odometry", IEEE Trans. Pattern Anal. Mach. Intell. Vol. 40, pp. 611-625, 2018.
DOI
|
23 |
Qin, T., Li, P. and Shen, S., "VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator", IEEE Trans. Robot, Vol. 34, pp. 1004-1020, 2018.
DOI
|
24 |
Rublee, E., Rabaud, V., Konolige, K. and Bradski, G., "ORB: An Efficient Alternative to SIFT or SURF", IEEE International Conference on Computer Vision, 2011.
|
25 |
Forster, C., Carlone, L., Dellaert, F. and Scaramuzza, D., "On-Manifold Preintegration for Real-Time Visual-Inertial Odometry", IEEE Trans. Robot., Vol. 33, pp. 1-21, 2017.
DOI
|
26 |
Geneva, P., Eckenhoff, K., Lee, W., Yang, Y. and Huang, G., "OpenVINS: A Research Platform for Visual-Inertial Estimation", IEEE International Conference on Robotics and Automation, pp. 4666-4672, 2020.
|
27 |
Thrun, S., "Robotic Mapping: A Survey", Science (80-. ). Vol. 298, pp. 1-35, 2002.
DOI
|
28 |
Andersone, I., Heterogeneous Map Merging: State of the art, Robotics, 2019.
|
29 |
Horner, J., Map-merging for Multi-robot System, 2016.
|
30 |
Alnounou, Y., Paulik, M.J., Krishnan, M. and Hudas, G. and Overholt, J., "Occupancy Grid Map Merging using Feature Maps", International Conference on Robotics and Applications, pp. 469-475, 2010;
|
31 |
Hornung, A., Wurm, K. M., Bennewitz, M., Stachniss, C. and Burgard, W., "OctoMap: An efficient probabilistic 3D mapping framework based on octrees.", Auton. Robots, Vol. 34, pp. 189-206, 2013.
DOI
|
32 |
Majumder, A., Gopi, M., Majumder, A. and Gopi, M., The Pinhole Camera, Introduction to Visual Computing, 2019.
|
33 |
Green, B, Canny edge detection, Retrieved, 2009.
|
34 |
Hess, W., Kohler, D., Rapp, H. and Andor, D., "Real-time loop closure in 2D LIDAR SLAM", IEEE International Conference on Robotics and Automation, 2016.
|
35 |
Forster, C., Zhang, Z., Gassner, M., Werlberger, M. and Scaramuzza, D., "SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems", IEEE Trans. Robot. Vol. 33, pp. 249-265, 2017.
DOI
|
36 |
Hart, P. E., Nilsson, N. J. and Raphael, B., "A Formal Basis for the Heuristic Determination of Minimum Cost Paths", IEEE Trans. Syst. Sci. Cybern., 1968.
|
37 |
Delmerico, J. and Scaramuzza, D., "A Benchmark Comparison of Monocular Visual-Inertial Odometry Algorithms for Flying Robots", IEEE International Conference on Robotics and Automation, pp. 2502-2509, 2018.
|
38 |
Murphy, R. R., Tadokoro, S., Nardi, D., Jacoff, A., Fiorini, P., Choset, H. and Erkmen, A. M., Search and Rescue Robotics, Springer Handbook of Robotics, 2008.
|
39 |
Elfes, A. Occupancy Grids: A Stochastic Spatial Representation for Active Robot Perception, 2013.
|
40 |
Chong, T .J., Tang, X. J., Leng, C. H., Yogeswaran, M., Ng, O. E. and Chong, Y. Z., "Sensor Technologies and Simultaneous Localization and Mapping (SLAM)", Proceedings of the Procedia Computer Science, 2015.
|
41 |
Leutenegger, S., Furgale, P., Rabaud, V., Chli, M., Konolige, K. and Siegwart, R., Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization, 2016.
|
42 |
UMEDA, M., Hough Transform, J. Japan Soc. Fuzzy Theory Syst., 1996.
|