Rémi Boutteau
9
Documents
Identifiants chercheurs
- boutteau
- 0000-0003-1078-5043
- Google Scholar : https://scholar.google.fr/citations?user=U-SrcPkAAAAJ&hl=fr
- IdRef : 150614314
Présentation
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<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.
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Publications
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Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart MobilitySensors, 2020, 20 (2), pp.532. ⟨10.3390/s20020532⟩
Article dans une revue
hal-02446258v1
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An Omnidirectional Stereoscopic System for Mobile Robot NavigationSensors & Transducers., 2009
Article dans une revue
hal-01710395v1
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A new Evaluation Approach for Deep Learning-based Monocular Depth Estimation MethodsThe 23rd IEEE International Conference on Intelligent Transportation Systems, Sep 2020, Rhodes (virtual conference), Greece
Communication dans un congrès
hal-02978149v1
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Toward Comprehensive Road Agents Behavior UnderstandingCSTI 2020 : 1er Colloque Francophone des Systèmes de Transports Intelligents, Nov 2020, Tunis, Tunisia
Communication dans un congrès
hal-03016779v1
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A Dynamic Programming Algorithm Applied to Omnidirectional Vision for Dense 3D Reconstruction2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR), Nov 2013, Naha, Japan. ⟨10.1109/ACPR.2013.170⟩
Communication dans un congrès
hal-01710409v1
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Road-line detection and 3D reconstruction using fisheye cameras2013 16th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2013), Oct 2013, The Hague, Netherlands. ⟨10.1109/ITSC.2013.6728376⟩
Communication dans un congrès
hal-01710406v1
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Fusion of Omnidirectional and PTZ Cameras for Face Detection and Tracking2010 International Conference on Emerging Security Technologies (EST), Sep 2010, Canterbury, United Kingdom. ⟨10.1109/EST.2010.16⟩
Communication dans un congrès
hal-01710402v1
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An omnidirectional stereoscopic system for mobile robot navigation2008 International Workshop on Robotic and Sensors Environments (ROSE), Oct 2008, Ottawa, Canada. ⟨10.1109/ROSE.2008.4669195⟩
Communication dans un congrès
hal-01710400v1
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A 3D Omnidirectional Sensor For Mobile Robot ApplicationsMobile Robots Navigation, 2010
Chapitre d'ouvrage
hal-01713170v1
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