Mathieu Labbe
From IntRoLab
Mathieu Labbé, M.Sc.A.
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Formation
- 2011-201x Doctorat en génie électrique, Université de Sherbrooke
- 2009-2010 Maîtrise en génie électrique, Université de Sherbrooke
- 2004-2008 Baccalauréat en génie informatique, Université de Sherbrooke
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Scholarship
- 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
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Prix et distinctions
- Gagner le IROS 2014 Microsoft Kinect Contest with RTAB-Map
- Revue de presse: 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
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Honors and Awards
- 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
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Intérêts
- Robotique mobile
- Cartographie et localisation simultanées (SLAM)
- Systèmes temps réel
- Apprentissage autonome
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Interests
- Mobile robotic
- Simultaneous Localization And Mapping (SLAM)
- Real-time systems
- Autonomous learning
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Projets
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Projects
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Logiciels "Open Source"
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.
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Open source softwares
- 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.
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<french>== Publications ==</french><english>== Papers ==</english>
- 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)
