Difference between revisions of "Mathieu Labbe"
From IntRoLab
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* [[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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* [http://code.google.com/p/vvindow/ VVindow] A virtual window project: Head tracking using a Kinect for Virtual Reality. | * [http://code.google.com/p/vvindow/ VVindow] A virtual window project: Head tracking using a Kinect for Virtual Reality. | ||
* [http://code.google.com/p/semolearning/ SeMoLearning] Graph-based Bayesian Sensorimotor Learning. | * [http://code.google.com/p/semolearning/ SeMoLearning] Graph-based Bayesian Sensorimotor Learning. | ||
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* [[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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* [http://code.google.com/p/vvindow/ VVindow] A virtual window project: Head tracking using a Kinect for Virtual Reality. | * [http://code.google.com/p/vvindow/ VVindow] A virtual window project: Head tracking using a Kinect for Virtual Reality. | ||
* [http://code.google.com/p/semolearning/ SeMoLearning] Graph-based Bayesian Sensorimotor Learning. | * [http://code.google.com/p/semolearning/ SeMoLearning] Graph-based Bayesian Sensorimotor Learning. |
Revision as of 18:26, 8 June 2015
Mathieu Labbé, M.Sc.A.
Contact information :
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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
- Press coverage: Robohub.org 1, Robohub.org 2, SV ROS, ROS.org, Pi Robot, Adept Mobile Robots
- 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]
- Loop closure detection for Simultaneous Localization and Mapping (SLAM).
- Object detection using SURF/SIFT like features.
- UtiLite C++ utilities.
- 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) (IEEE Xplore)
- 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)