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Rémi Boutteau

14
Documents
Identifiants chercheurs

Présentation

``` <strong>Rémi Boutteau</strong> received his engineering degree from the <a href="http://imt-lille-douai.fr/en/" target="_blank">IMT Lille Douai</a> and his MSc degree in Computer Science from the <a href="https://www.univ-lille.fr/home/" target="_blank">University of Lille</a> in 2006. In 2010, he received his PhD degree from the <a href="http://rouenuniversity.univ-rouen.fr/" target="_blank">University of Rouen Normandy</a> for works related to Computer Vision (catadioptric sensors, 3D reconstruction, Structure-from-Motion). From 2009 to 2020, he was an Associate Professor at the <a href="https://www.esigelec.fr/en" target="_blank">ESIGELEC </a> engineering school and a researcher in the <a href="https://www.esigelec.fr/fr/irseem" target="_blank">IRSEEM</a> research institute. In 2018, he obtained the HDR (French Habilitation to supervise research) from the <a href="http://rouenuniversity.univ-rouen.fr/" target="_blank">University of Rouen Normandy</a> for his research on autonomous vehicles localization. Since 2020, he is a Full Professor at <a href="http://rouenuniversity.univ-rouen.fr/" target="_blank">University of Rouen Normandy</a> within the <a href="https://www.litislab.fr/equipe/index/sti" target="_blank">STI team</a> (Intelligent Transportation System) at the <a href="https://www.litislab.fr/accueil" target="_blank">LITIS Lab</a> (IT Laboratory, Information Processing and Systems). His research interests are perception, localization and computer vision dedicated to autonomous vehicles. ```

Publications

redouane-khemmar

Improving the Efficiency of 3D Monocular Object Detection and Tracking for Road and Railway Smart Mobility

Alexandre Evain , Antoine Mauri , François Garnier , Messmer Kounouho , Redouane Khemmar
Sensors, 2023, 23 (6), pp.3197. ⟨10.3390/s23063197⟩
Article dans une revue hal-04097585v1

Road and Railway Smart Mobility: A High-Definition Ground Truth Hybrid Dataset

Redouane Khemmar , Antoine Mauri , Camille Dulompont , Jayadeep Gajula , Vincent Vauchey
Sensors, 2022, 22 (10), pp.3922. ⟨10.3390/s22103922⟩
Article dans une revue hal-03685898v1

STAF: Spatio-Temporal Attention Framework for Understanding Road Agents Behaviors

R. Trabelsi , R. Khemmar , Benoit Decoux , J.-Y. Ertaud , R. Boutteau
IEEE Access, 2022, 10, pp.55794-55804. ⟨10.1109/ACCESS.2022.3176861⟩
Article dans une revue hal-04097562v1

Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical Survey

Rim Trabelsi , Redouane Khemmar , Benoit Decoux , Jean-Yves Ertaud , Rémi Boutteau
Sensors, 2022, 22 (7), pp.2654. ⟨10.3390/s22072654⟩
Article dans une revue hal-03630603v1

Lightweight convolutional neural network for real-time 3D object detection in road and railway environments

A. Mauri , Redouane Khemmar , B. Decoux , M. Haddad , Rémi Boutteau
Journal of Real-Time Image Processing, 2022, ⟨10.1007/s11554-022-01202-6⟩
Article dans une revue hal-03592337v1
Image document

Real-Time 3D Multi-Object Detection and Localization Based on Deep Learning for Road and Railway Smart Mobility

Antoine Mauri , Redouane Khemmar , Benoit Decoux , Madjid Haddad , Rémi Boutteau
Journal of Imaging, 2021, 7 (8), pp.145. ⟨10.3390/jimaging7080145⟩
Article dans une revue hal-03324039v1
Image document

Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

Antoine Mauri , Redouane Khemmar , Benoit Decoux , Nicolas Ragot , Romain Rossi
Sensors, 2020, 20 (2), pp.532. ⟨10.3390/s20020532⟩
Article dans une revue hal-02446258v1

Road and Railway Smart Mobility: A High-Definition Ground Truth Hybrid Dataset

Redouane Khemmar , Antoine Mauri , Camille Dulompont , Jayadeep Gajula , Vincent Vauchey
ICCV23 : International Conference in Computer Vision, ICCV23, Oct 2023, Paris, France
Communication dans un congrès hal-04238828v1
Image document

Une nouvelle approche pour l'évaluation des méthodes monoculaires d'estimation de la profondeur basées sur l'apprentissage profond

Antoine Mauri , Redouane Khemmar , Benoit Decoux , Jean-Yves Ertaud , Madjid Haddad
ORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
Communication dans un congrès hal-03339671v1
Image document

A Comparative Study of Deep Learning-based Depth Estimation Approaches: Application to Smart Mobility

Antoine Mauri , Redouane Khemmar , Benoit Decoux , Tahar Ben Moumen , Madjid Haddad
8th International Conference on Smart Computing and Communications (ICSCC 2021), Jul 2021, Kochi, India
Communication dans un congrès hal-03277346v1

Environment Perception-based Deep Learning. Application to Road and Railway Smart Mobility.

Redouane Khemmar , Antoine Mauri , Benoit Decoux , Madjid Haddad , Rémi Boutteau
V-ASET2021. 5th Edition of Applied Science, Engineering and Technology Virtual., Dec 2021, Teams, United Kingdom
Communication dans un congrès hal-03525808v1
Image document

A new Evaluation Approach for Deep Learning-based Monocular Depth Estimation Methods

Antoine Mauri , Redouane Khemmar , Rémi Boutteau , Benoit Decoux , Jean Yves Ertaud
The 23rd IEEE International Conference on Intelligent Transportation Systems, Sep 2020, Rhodes (virtual conference), Greece
Communication dans un congrès hal-02978149v1

Toward Comprehensive Road Agents Behavior Understanding

Rim Trabelsi , Redouane Khemmar , Rémi Boutteau , Benoit Decoux , Jean Yves Ertaud
CSTI 2020 : 1er Colloque Francophone des Systèmes de Transports Intelligents, Nov 2020, Tunis, Tunisia
Communication dans un congrès hal-03016779v1
Image document

Odométrie visuelle par vision omnidirectionnelle pour la navigation autonome d'une chaise roulante motorisée

René Emmanuel Datondji , Nicolas Ragot , Yassine Nasri , Redouane Khemmar , Rémi Boutteau
Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France
Communication dans un congrès hal-01161916v1