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Rémi Boutteau

Rémi Boutteau received his engineering degree from the IMT Lille Douai and his MSc degree in Computer Science from the University of Lille in 2006. In 2010, he received his PhD degree from the University of Rouen Normandy for works related to Computer Vision (catadioptric sensors, 3D reconstruction, Structure-from-Motion). From 2009 to 2020, he was an Associate Professor at the ESIGELEC  engineering school and a researcher in the IRSEEM research institute. In 2018, he obtained the HDR (French Habilitation to supervise research) from the University of Rouen Normandy for his research on autonomous vehicles localization. Since 2020, he is a Full Professor at University of Rouen Normandy within the STI team (Intelligent Transportation System) at the LITIS Lab (IT Laboratory, Information Processing and Systems). His research interests are perception, localization and computer vision dedicated to autonomous vehicles.

Nicolas Ragot   

Journal articles1 document

  • Antoine Mauri, Redouane Khemmar, Benoit Decoux, Nicolas Ragot, Romain Rossi, et al.. Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility. Sensors, MDPI, 2020, 20 (2), pp.532. ⟨10.3390/s20020532⟩. ⟨hal-02632529⟩

Conference papers2 documents

  • Safa Ouerghi, Nicolas Ragot, Rémi Boutteau, Xavier Savatier. Comparative Study of a commercial tracking camera and ORB-SLAM2 for person localization. 15th International Conference on Computer Vision Theory and Applications, Feb 2020, Valletta, France. pp.357-364, ⟨10.5220/0008980703570364⟩. ⟨hal-02567816⟩
  • René Emmanuel Datondji, Nicolas Ragot, Yassine Nasri, Redouane Khemmar, Rémi Boutteau. Odométrie visuelle par vision omnidirectionnelle pour la navigation autonome d'une chaise roulante motorisée. Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France. ⟨hal-01161916⟩