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hal-00338728v1  Book sections
Kamel MekhnachaPierre Bessière. BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.205-231, 2008
hal-00779183v1  Book sections
Christopher TayKamel MekhnachaChristian Laugier. Probabilistic Vehicle Motion Modeling and Risk Estimation
Azim Eskandarian. Handbook of Intelligent Vehicles, 2, Springer, pp.1479-1516, 2012
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inria-00295084v1  Book sections
Christopher TayKamel MekhnachaManuel YguelChristophe CoueCedric Pradalier et al.  The Bayesian Occupation Filter
Bessière, P. and Laugier, C. and Siegwart, R. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 46, Springer, 2008, Springer Tracts in Advanced Robotics Series
hal-00338763v1  Journal articles
Kamel MekhnachaJuan-Manuel AhuactzinPierre BessièreEmanuel MazerLinda Smail. Exact and approximate inference in ProBT
Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2007, 21/3, pp.295-332
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hal-00338800v1  Conference papers
J.F. FerreiraPierre BessièreKamel MekhnachaJ. LoboJ. Dias et al.  Bayesian Models for Multimodal Perception of 3D Structure and Motion
International Conference on Cognitive Systems (CogSys 2008), 2008, Karlsruhe, Germany
hal-00106245v1  Book sections
Pierre BessièreOlivier LebeltelEmmanuel MazerKamel Mekhnacha. Simulation et Programmation
E. DOMBRE. Analyse et modélisation des robots, Editions HERMES, 2001
inria-00182089v1  Journal articles
Christopher TayKamel MekhnachaCheng ChenManuel YguelChristian Laugier. An Efficient Formulation of the Bayesian Occupation Filter for Target Tracking in Dynamic Environments
International Journal of Vehicle Autonomous Systems, Inderscience, 2007, To Appear Spring
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inria-00182007v1  Conference papers
Cheng ChenChristopher TayKamel MekhnachaChristian Laugier. Dynamic environment modeling with gridmap: a multiple-object tracking application
Proc. of the Int. Conf. on Control, Automation, Robotics and Vision, Dec 2006, Singapour, Singapore
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tel-00010472v1  Theses
Kamel Mekhnacha. Méthodes Probabilistes Bayesiennes pour la prise en en compte des incertitudes géométriques : Application à la CAO-Robotique
Automatique / Robotique. Institut National Polytechnique de Grenoble - INPG, 1999. Français