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Rémi Boutteau
Professeur des Universités - Section CNU 61
Université de Rouen Normandie
Laboratoire LITIS - UR 4108
Normastic, FR CNRS 3638
Equipe STI

Contact:
E-mail:mail
Address:
UFR Sciences et Techniques
Université de Rouen Normandie
Technopôle du Madrillet
Avenue de l'Université
76800 Saint Etienne du Rouvray
France
Office: U2.1.36
Phone: +33 2 32 95 53 34

Rémi Boutteau received his engineering degree from the IMT Nord Europe 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.

Rémi Boutteau
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IEEE Rémi Boutteau Semantic Scholar Rémi Boutteau
Autonomous Vehicle Localization Artificial Intelligence Calibration Structure-from-Motion Lidar Odometry Camera CUDA Robotics Motion estimation GPU Catadioptric SLAM 3D Reconstruction Recognition Motion Fisheye Image Processing Perception Deep Learning Tracking Optimization GPS Computer Vision Minimal Solutions Bundle Adjustment CNN Stereovision Mapping

Latest news

  • 22/03/2024 : Our paper "Multi-Agent Cooperative Camera-Based Semantic Grid Generation" has been accepted in Journal of Intelligent & Robotic Systems.
  • 11/01/2024 : Participation in the PhD thesis jury of Vincent Brebion (Université de Technologie de Compiègne).
  • 06/10/2023 : Our paper "Industrial Object Detection: Leveraging Synthetic Data for Training Deep Learning Models" has been accepted in International Conference on Industrial Engineering and Applications.
  • 05/10/2023 : Participation in the PhD thesis jury of Abanob Soliman (Paris-Saclay University).
  • 26/06/2023 : Participation in the PhD thesis jury of Romain Cazorla (Ecole Nationale d'Ingénieurs de Brest).