Egor SATTAROV

Egor SATTAROV bourse digiteo 2013

L’IEF (Sergio Rodriguez et Roger reynaud) et l’ENSTA Paris Tech (Alexander Geppaert) ont déposé et obtenu une bouse de thèse intitulée MODALSENSE financé par le RTRA DIGITEO.

Résumé: This thesis project will investigate and quantify the contribution of contextaided multimodal perception for detecting and tracking moving objects. This research study will be applied to the detection and recognition of relevant objects in road traffic environments for Intelligent Vehicles (IV). The results to be obtained will allow us to transpose the proposed concept to a wide range of state-of-the-art sensors and object classes by means of an integrative system approach involving learning methods. In particular, such learning methods will investigate how the embedding into an embodied system, providing a multitude of different data sources, can be harnessed to learn 1) without, or with reduced, explicit supervision by exploiting correlations 2) incrementally, by adding to existing knowledge instead of complete retraining every time new data arrive 3) collectively, each learning instance in the system being trained in a way that ensures approximately optimal fusion.

Sujet de la thèse : Contributions of context-aided multimodal perception systems for detection and tracking of moving objects.

Sujet : “Study and quantification of the contribution of multimodal perception systems assisted by context information in the detection and tracking of dynamic objects.” Co-encadrement à 33 % R. Reynaud, S. Rodriguez et A. Gepperth de l’ENSTA. Débutée en Dec. 2013. Financement : Digiteo Grant. Production scientifique : 3 conf.