Roger Reynaud
Présentation
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) :
Publications
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 |
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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⟩ |
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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⟩ |
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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⟩ |
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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⟩ |
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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⟩ |
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The embeddability of lane detection algorithms on heterogeneous architecturesIEEE International Conference on Image Processing (ICIP), Sep 2015, Quebec City, Canada. ⟨10.1109/ICIP.2015.7351697⟩ |
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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⟩ |
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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⟩ |
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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⟩ |
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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 |
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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⟩ |
Object reconstruction in an image based on belief function representationInternational Conference on Image Processing (ICIP’14), Oct 2014, Paris, France |
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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 |
Data Association for Object Enumeration Using Belief Function TheoryBelief Functions: Theory and Applications , Sep 2014, Oxford, United Kingdom |
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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 |
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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 |
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⟩ |
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Dynamic estimation of the discernment frame in belief function theoryInternational Conference on Information Fusion (FUSION’13), Jul 2013, Istambul, Turkey |