Mathieu Labbe

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Mathieu Labbé, M.Sc.A.

MathieuLabbé.jpg Contact information :
  • IntRoLab laboratory, Interdisciplinary Institute of Technological Innovation (3IT), Université de Sherbrooke
  • Email : mathieu.m.labbe (at) usherbrooke.ca


Scholarship[edit]

  • 2011-201x Ph. D. in electrical engineering, Université de Sherbrooke
  • 2009-2010 Master of electrical engineering, Université de Sherbrooke
  • 2004-2008 Bachelor of computer engineering, Université de Sherbrooke


Honors and Awards[edit]

* Revue de presse: Robohub 1, Robohub 2, SV ROS, ROS.org, Pi Robot
  • Bourse de doctorat en recherche, FQRNT, 2011
  • Bourse d'excellence de recherche en traitement d’images vidéo, Fondation de l'Université de Sherbrooke, 2010
  • Bourse d'études supérieures BESC M, CRSNG, 2009
  • Bourse Hydro-Québec, volet recrutement, Fondation de l'Université de Sherbrooke, 2009
  • Attestations d'excellence scolaire, 2005-6-7-8


Interests[edit]

  • Mobile robotic
  • Simultaneous Localization And Mapping (SLAM)
  • Real-time systems
  • Autonomous learning



Open source softwares[edit]

  • RTAB-Map Loop closure detection for Simultaneous Localization and Mapping (SLAM).
  • Find-Object Object detection using SURF/SIFT like features.
  • UtiLite C++ utilities.
  • FOVIS ros-pkg ROS Wrapper of the Fovis library: a visual odometry approach using Kinect-like sensors.
  • VVindow A virtual window project: Head tracking using a Kinect for Virtual Reality.
  • SeMoLearning Graph-based Bayesian Sensorimotor Learning.


Papers[edit]

  • M. Labbé and F. Michaud, “Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. (pdf)
  • M. Labbé and F. Michaud, “Appearance-Based Loop Closure Detection for Online Large-Scale and Long-Term Operation,” in IEEE Transactions on Robotics, vol. 29, no. 3, pp. 734-745, 2013. (pdf) (IEEE Xplore)
  • M. Labbé and F. Michaud, “Memory management for real-time appearance-based loop closure detection,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011, pp. 1271–1276. (pdf) (IEEE Xplore)