Roger Reynaud
36
Documents
Présentation
Professeur Université Paris Saclay
Chercheur au laboratoire SATIE
Enseignant au dépt Mesures Physiques de l'IUT d'Orsay
Actuellement en poste au laboratoire SATIE, dans le pôle SIAME. Ancien chef du groupe "Méthodes et Outils pour les Signaux et Systèmes", je suis inscrit dans la thématique de recherche "Analyse des Données et des Images".
**Champs disciplinaires (mots-clefs) :**
- Fusion de données, méthodes probabilistes et fonctions de croyance.
- Localisation multicsources vision, GPS, cartes avec mesure de la fiabilité.
- Prototypage d'algorithmes de vision sur processeurs hybrides multi coeurs
- Conception de systèmes autonomes et ADAS
- Data Fusion, probabilistic and belief theories, accurate localization, maps with fiability metrics;
- Algorithm prototyping on hybrid multi cores;
- Design of autonomous systems, intrinsic and augmented autonomy
Publications
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Renforcement de la localisation piétonne par détection visuelle via des informations géométriques et spatiales contenues dans une carteGRETSI 2023. XXIXème Colloque Francophone de Traitement du Signal et des Images, colloque GRETSI, Aug 2023, Grenoble, France
Communication dans un congrès
hal-04132403v1
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Towards a Reference Data Generation Framework for Performance Assessment of Perception SystemsIEEE Intelligent Transportation Systems Conference (ITSC), Oct 2019, Auckland, New Zealand. ⟨10.1109/ITSC.2019.8917536⟩
Communication dans un congrès
hal-02393078v1
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An Integrity Assessment Framework for Multi-modal Vehicle Localization2019 IEEE Intelligent Transportation Systems Conference - ITSC, Oct 2019, Auckland, New Zealand. pp.2976-2983, ⟨10.1109/ITSC.2019.8916874⟩
Communication dans un congrès
hal-02393213v1
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Evidential multi-class classification from binary classifiers: application to waste sorting quality control from hyperspectral dataThe International Conference on Quality Control by Artificial Vision 2017, May 2017, Tokyo, Japan. ⟨10.1117/12.2266961⟩
Communication dans un congrès
hal-01691773v1
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A Robust Methodology for Performance Analysis on Hybrid Embedded Multicore Architectures10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2016), , Sep 2016, Lyon, France. pp.77 - 84, ⟨10.1109/MCSoC.2016.35⟩
Communication dans un congrès
hal-01415415v1
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SVM classifier fusion using belief functions: application to hyperspectral data classificationBelief Functions: Theory and Applications - 4th International Conference, Sep 2016, Prague, Czech Republic. ⟨10.1007/978-3-319-45559-4_12⟩
Communication dans un congrès
hal-01691958v1
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The embeddability of lane detection algorithms on heterogeneous architectures IEEE International Conference on Image Processing (ICIP), Sep 2015, Quebec City, Canada. ⟨10.1109/ICIP.2015.7351697⟩
Communication dans un congrès
hal-01244409v1
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Calibration-free match finding between vision and LIDARIntelligent Vehicles Symposium (IV), 2015 IEEE, Jun 2015, Seoul, South Korea. pp.1061 - 1067, ⟨10.1109/IVS.2015.7225825⟩
Communication dans un congrès
hal-01292529v1
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Optimal Performance Prediction of ADAS Algorithms on Embedded Parallel ArchitecturesHigh Performance Computing and Communications (HPCC), Aug 2015, New York, United States. pp.213-218, ⟨10.1109/HPCC-CSS-ICESS.2015.95⟩
Communication dans un congrès
hal-01240121v1
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Towards an Automatic Prediction of Image Processing Algorithms Performances on Embedded Heterogeneous Architectures2015 International Conference on Parallel Processing Workshops (ICPPW), Sep 2015, Beijing, China. ⟨10.1109/ICPPW.2015.14⟩
Communication dans un congrès
hal-01244398v1
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Object reconstruction in an image based on belief function representationInternational Conference on Image Processing (ICIP’14), Oct 2014, Paris, France
Communication dans un congrès
hal-01728646v1
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Context-based vector fields for multi-object tracking in application to road trafficIEEE International Conference On Intelligent Transportation Systems (ITSC), Oct 2014, Qingdao, China. pp.1179 - 1185, ⟨10.1109/ITSC.2014.6957847⟩
Communication dans un congrès
hal-01098701v2
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Data Association for Object Enumeration Using Belief Function Theory Belief Functions: Theory and Applications , Sep 2014, Oxford, United Kingdom
Communication dans un congrès
hal-01728645v1
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Probabilistic Error Model for a Lane Marking Based Vehicle Localization Coupled to Open Source Maps2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), Oct 2014, Qingdao, China
Communication dans un congrès
hal-01075839v1
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Sequential object detection using belief function theory2014 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Mar 2014, Sousse, France. ⟨10.1109/atsip.2014.6834591⟩
Communication dans un congrès
hal-01728642v1
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Lane Marking Based Vehicle Localization Using Particle Filter and Multi-Kernel EstimationThe 13th International Conference on Control, Automation, Robotics and Vision, ICARCV 2014, Dec 2014, Marina Bay Sands, Singapore
Communication dans un congrès
hal-01095614v1
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Monocular Multi-Kernel Based Lane Marking DetectionIEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Jun 2014, Hong Kong, China. pp.123-128
Communication dans un congrès
hal-01021934v1
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An Improved Approach for Vision-Based Lane Marking Detection and Tracking2013 International Conference on Electrical, Control and Automation Engineering, Dec 2013, Hong Kong, China. pp.382-386
Communication dans un congrès
hal-01023389v1
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Dynamic estimation of the discernment frame in belief function theoryInternational Conference on Information Fusion (FUSION’13), Jul 2013, Istambul, Turkey
Communication dans un congrès
hal-01728649v1
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