Difference between revisions of "Mathieu Labbe"

From IntRoLab
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= Mathieu Labbé, M.Sc.A. =
 
= Mathieu Labbé, M.Sc.A. =
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| [[Image:MathieuLabbé.jpg|200px]]
 
| '''Coordonnées :  
 
| '''Coordonnées :  
* Institut interdisciplinaire d'innovation technologique, P2-3000
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* Laboratoire IntRoLab, Institut interdisciplinaire d'innovation technologique (3IT), Université de Sherbrooke
* Téléphone : 821-8000 ext. 65779
 
 
* Courriel : mathieu.m.labbe (at) usherbrooke.ca
 
* Courriel : mathieu.m.labbe (at) usherbrooke.ca
 
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| [[Image:MathieuLabbe.jpg|200px]]
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| '''Contact information :
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* IntRoLab laboratory, Interdisciplinary Institute of Technological Innovation (3IT), Université de Sherbrooke
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* Email : mathieu.m.labbe (at) usherbrooke.ca
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== Formation ==
 
== Formation ==

Revision as of 21:37, 20 May 2014

Mathieu Labbé, M.Sc.A.

200px Contact information :
  • IntRoLab laboratory, Interdisciplinary Institute of Technological Innovation (3IT), Université de Sherbrooke
  • Email : mathieu.m.labbe (at) usherbrooke.ca


Scholarship[edit]

  • 2010-201? 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]

  • 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


Projects[edit]


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, “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)