Publications

ProBT

 (1) K. Mekhnacha, J. M. Ahuactzin, P. Bessière, E. Mazer, and L. Smail, "Exact and approximate inference in ProBT," Revue d’Intelligence Artificielle, vol. 21/3, pp. 295-332, 2007.

 (2) K. Mekhnacha, J. M. Ahuactzin, P. Bessière, E. Mazer, and L. Smail, "A unifying framework for exact and approximate Bayesian inference," INRIA - Rhone-Alpes Research Report - E-MOTION team, Montbonnot, France. RR-5797, 2006.

BOF (Bayesian Occupancy Filter)

 (3) K. Mekhnacha, Y. Mao, D. Raulo, and C. Laugier. Chapter "The ’Fast Clustering-Tracking’ algorithm in the Bayesian Occupancy Filter framework" in book "Multisensor Fusion and Integration for Intelligent Systems (Lecture Notes in Electrical Engineering)", Springer-Verlag (Ed.), to appear, 2008.

 (4) C. Tay, K. Mekhnacha, M. Yguel, C. Coué, C. Pradalier, C. Laugier, T. Fraichard, and P. Bessiere. Chapter "The Bayesian Occupation Filter" in book "Probabilistic Reasoning and Decision Making in Sensory-Motor Systems", Springer (Ed.), 2008.

 (5) C. Tay, K. Mekhnacha, C. Chen, M. Yguel, and C. Laugier, "An Efficient Formulation of the Bayesian Occupation Filter for Target Tracking in Dynamic Environments," International Journal Of Autonomous Vehicles, 2007.

 (6) K. Mekhnacha, Y. Mao, D. Raulo, and C. Laugier. The ’Fast Clustering-Tracking’ algorithm in the Bayesian Occupancy Filter framework. Proc. of the IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems, Korea, 2008. Finalist for the best paper award.