Fall 2019
Department of Computing Science
University of Alberta

Readings

  1. Labbé, Mathieu, and François Michaud. "RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation." Journal of Field Robotics 36.2 (2019): 416-446.
  2. Zhang, Ji, and Sanjiv Singh. "LOAM: Lidar Odometry and Mapping in Real-time." Robotics: Science and Systems. Vol. 2. 2014.
  3. Hess, Wolfgang, et al. "Real-time loop closure in 2D LIDAR SLAM." 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016.
  4. Quan, Long; Lan, Zhong-Dan (1999). "Linear N-Point Camera Pose Determination", IEEE Transactions on Pattern Analysis and Machine Intelligence.
  5. Lowry, Stephanie, et al. “Visual place recognition: A survey.” IEEE Transactions on Robotics 32.1 (2016): 1-19.
  6. Cadena, Cesar, et al. “Past, present, and future of simultaneous localization and mapping: Towards the robust-perception age.” IEEE Transactions on Robotics 32.6 (2016): 1309-1332.
  7. Thrun, Sebastian. “Particle filters in robotics.” Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence. Morgan Kaufmann Publishers Inc., 2002.
  8. Fox, Dieter, et al. "Monte carlo localization: Efficient position estimation for mobile robots." AAAI/IAAI 1999 (1999): 343-349.
  9. Grisetti, G., et al. “G2O: A general framework for graph optimization.” IEEE International Conference on Robotics and Automation. 2011.
  10. Grisetti, G., Kummerle, R., Stachniss, C., and Burgard, W. “A tutorial on graph-based SLAM.” IEEE Intelligent Transportation Systems Magazine, 2(4):31–43, 2010.
  11. Sivic, J. and Zisserman, A. "Video Google: A Text Retrieval Approach to Object Matching in Videos", Proceedings of the International Conference on Computer Vision (ICCV), 2003.
  12. Mur-Artal, Raul, J. M. M. Montiel, and Juan D. Tardos. “ORB-SLAM: a versatile and accurate monocular slam system.” IEEE Transactions on Robotics 31.5 (2015): 1147-1163.
  13. Mur-Artal, Raul, and Juan D. Tardós. "ORB-SLAM2: An open-source slam system for monocular, stereo, and rgb-d cameras." IEEE Transactions on Robotics 33.5 (2017): 1255-1262.
  14. Engel, J., Schops, T., and Cremers, D. (2014). LSD-SLAM: Large-scale direct monocular SLAM. In European Conference on Computer Vision, pages 834–849. Springer.
  15. Fraundorfer, F. and Scaramuzza, Davide. “Visual odometry: Part II: Matching, robustness, optimization, and applications.” IEEE Robotics & Automation Magazin e 19.2 (2012): 78-90.
References
  1. Quigley, Morgan, Brian Gerkey, and William D. Smart. Programming Robots with ROS: A Practical Introduction to the Robot Operating System, O'Reilly Media, Inc., 2015.
  2. ROS Kinetic , http://wiki.ros.org/kinetic.
  3. RTAB-Map, http://introlab.github.io/rtabmap/
  4. Giorgio Grisetti, “An incomplete scan matching tutorial”, unpublished and undated.
  5. ROS Cheat Sheet (Kinetic/Indigo/Hydro), Clearpath Robotics, https://clearpathrobotics.com/ros-robot-operating-system-cheat-sheet/.