Difference between revisions of "Mathieu Labbe"

From IntRoLab
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<french>
 
<french>
 
== Prix et distinctions ==
 
== Prix et distinctions ==
* Gagner le [http://www.iros2014.org/program/kinect-robot-navigation-contest IROS 2014 Microsoft Kinect Contest] with [https://code.google.com/p/rtabmap/wiki/IROS2014KinectChallenge RTAB-Map]
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* Gagner le [http://www.iros2014.org/program/kinect-robot-navigation-contest IROS 2014 Microsoft Kinect Contest] with [https://github.com/introlab/rtabmap/wiki/IROS-2014-Kinect-Challenge RTAB-Map]
 
** Revue de presse: [http://robohub.org/real-time-appearance-based-mapping-in-action-at-the-microsoft-kinect-challenge-iros-2014 Robohub.org 1], [http://robohub.org/sv-ros-pi-robot-win-1st-place-in-iros-2014-microsoft-connect-challenge Robohub.org 2], [http://www.meetup.com/SV-ROS-users/pages/Winning_the_IROS2014_Microsoft_Connect_Challenge SV ROS], [http://www.ros.org/news/2014/09/sv-ross-team-maxed-out-wins-first-place-at-the-iros2014-microsoft-kinect-challenge.html ROS.org], [http://www.pirobot.org/wordpress/pi-robot-helps-sv-ros-win-navigation-contest Pi Robot]
 
** Revue de presse: [http://robohub.org/real-time-appearance-based-mapping-in-action-at-the-microsoft-kinect-challenge-iros-2014 Robohub.org 1], [http://robohub.org/sv-ros-pi-robot-win-1st-place-in-iros-2014-microsoft-connect-challenge Robohub.org 2], [http://www.meetup.com/SV-ROS-users/pages/Winning_the_IROS2014_Microsoft_Connect_Challenge SV ROS], [http://www.ros.org/news/2014/09/sv-ross-team-maxed-out-wins-first-place-at-the-iros2014-microsoft-kinect-challenge.html ROS.org], [http://www.pirobot.org/wordpress/pi-robot-helps-sv-ros-win-navigation-contest Pi Robot]
 
* Bourse de doctorat en recherche, FQRNT, 2011
 
* Bourse de doctorat en recherche, FQRNT, 2011
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<english>
 
<english>
 
== Honors and Awards ==
 
== Honors and Awards ==
* Winning the [http://www.iros2014.org/program/kinect-robot-navigation-contest IROS 2014 Microsoft Kinect Contest] with [https://code.google.com/p/rtabmap/wiki/IROS2014KinectChallenge RTAB-Map]
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* Winning the [http://www.iros2014.org/program/kinect-robot-navigation-contest IROS 2014 Microsoft Kinect Contest] with [https://github.com/introlab/rtabmap/wiki/IROS-2014-Kinect-Challenge RTAB-Map]
 
** Press coverage: [http://robohub.org/real-time-appearance-based-mapping-in-action-at-the-microsoft-kinect-challenge-iros-2014 Robohub.org 1], [http://robohub.org/sv-ros-pi-robot-win-1st-place-in-iros-2014-microsoft-connect-challenge Robohub.org 2], [http://www.meetup.com/SV-ROS-users/pages/Winning_the_IROS2014_Microsoft_Connect_Challenge SV ROS], [http://www.ros.org/news/2014/09/sv-ross-team-maxed-out-wins-first-place-at-the-iros2014-microsoft-kinect-challenge.html ROS.org], [http://www.pirobot.org/wordpress/pi-robot-helps-sv-ros-win-navigation-contest Pi Robot]
 
** Press coverage: [http://robohub.org/real-time-appearance-based-mapping-in-action-at-the-microsoft-kinect-challenge-iros-2014 Robohub.org 1], [http://robohub.org/sv-ros-pi-robot-win-1st-place-in-iros-2014-microsoft-connect-challenge Robohub.org 2], [http://www.meetup.com/SV-ROS-users/pages/Winning_the_IROS2014_Microsoft_Connect_Challenge SV ROS], [http://www.ros.org/news/2014/09/sv-ross-team-maxed-out-wins-first-place-at-the-iros2014-microsoft-kinect-challenge.html ROS.org], [http://www.pirobot.org/wordpress/pi-robot-helps-sv-ros-win-navigation-contest Pi Robot]
 
* Bourse de doctorat en recherche, FQRNT, 2011
 
* Bourse de doctorat en recherche, FQRNT, 2011
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<french>
 
<french>
 
=== Logiciels "Open Source" ===
 
=== Logiciels "Open Source" ===
* [[Image:RTAB-Map.png|link=http://rtabmap.googlecode.com|RTAB-Map]] Loop closure detection for Simultaneous Localization and Mapping (SLAM).
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* [[Image:RTAB-Map.png|link=http://introlab.github.io/rtabmap|RTAB-Map]] Loop closure detection for Simultaneous Localization and Mapping (SLAM).
 
* [[Image:Find_object.png|link=http://find-object.googlecode.com|48px|Find-Object]] Object detection using SURF/SIFT like features.
 
* [[Image:Find_object.png|link=http://find-object.googlecode.com|48px|Find-Object]] Object detection using SURF/SIFT like features.
 
* [http://utilite.googlecode.com UtiLite] C++ utilities.
 
* [http://utilite.googlecode.com UtiLite] C++ utilities.
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<english>
 
<english>
 
=== Open source softwares ===
 
=== Open source softwares ===
* [[Image:RTAB-Map.png|link=http://rtabmap.googlecode.com|RTAB-Map]] Loop closure detection for Simultaneous Localization and Mapping (SLAM).
+
* [[Image:RTAB-Map.png|link=http://introlab.github.io/rtabmap|RTAB-Map]] Loop closure detection for Simultaneous Localization and Mapping (SLAM).
 
* [[Image:Find_object.png|link=http://find-object.googlecode.com|48px|Find-Object]] Object detection using SURF/SIFT like features.
 
* [[Image:Find_object.png|link=http://find-object.googlecode.com|48px|Find-Object]] Object detection using SURF/SIFT like features.
 
* [http://utilite.googlecode.com UtiLite] C++ utilities.
 
* [http://utilite.googlecode.com UtiLite] C++ utilities.

Revision as of 18:27, 27 November 2014

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]

  • Winning the IROS 2014 Microsoft Kinect Contest with RTAB-Map
  • 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)