
SR
Sergio Alberto Rodriguez Florez
Maître de conférences, HDR
80%
Libre accès
49
Documents
Affiliations actuelles
- Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE)
- Université Paris-Saclay
Présentation
Diplômé en Master et Doctorat de l'Université de Technologie de Compiègne en 2007 et 2010. Depuis 2011, il est Maitre de conférences à l'Université Paris-Saclay. En 2023, il a obtenu son HDR à Université Paris-Saclay sur l'analyse de scènes dynamiques par des Systèmes de Perception Multimodale Embarqués appliquées aux problématiques des Transports Intelligents. Actuellement, il se consacre au développement de systèmes de perception multimodale embarqués et basés sur l’IA, intégrant des informations contextuelles. Ces systèmes sont conçus pour améliorer de manière significative les applications des véhicules intelligents, visant à accroître la sécurité et l’efficacité.





Domaines de recherche
Robotique [cs.RO]
Compétences
Computer vision
Multi-modal perception
Multi-sensor data fusion
SLAM
Embedded systems
Publications
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Publications
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Performance Evaluation of a Visual Defects Detection System for Railways MonitoringInternational Conference on Mobility, Artificial Intelligence and Health (MAIH 2024), Nov 2024, Marrakesh, Morocco. pp.03002, ⟨10.1051/itmconf/20246903002⟩
Communication dans un congrès
hal-04837240
v1
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Comparison of bend-taking on thermal and electric motorcycles: qualitative studies15th International Motorcycle Conference (IMC 2024), Dec 2024, Köln, Germany. pp.153-165
Communication dans un congrès
hal-04831595
v2
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Optimizing Convolution Operations for YOLOv4-based Object Detection on GPUInternational Conference on Mobility, Artificial Intelligence and Health (MAIH2024), Nov 2024, Marrakech, Morocco. pp.04008, ⟨10.1051/itmconf/20246904008⟩
Communication dans un congrès
hal-04838213
v1
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UKF SLAM-Enhanced Perception and Navigation for Effective Area Coverage in Autonomous Driving2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Jul 2024, Shijiazhuang, China. pp.200-205, ⟨10.1109/SDPC62810.2024.10707767⟩
Communication dans un congrès
hal-04743868
v1
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La perception multi-capteur : Un transfert recherche - enseignement pour les nouveaux métiers des véhicules à conduite automatiséeCNRIUT 2023 Saint Pierre - La Réunion, IUT de Saint Pierre, Jun 2023, Saint Pierre (La Réunion), La Réunion
Communication dans un congrès
hal-04326683
v1
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Le Cartable Distant : une plateforme dédiée aux enseignements pratiques à distance, un outil pour l'hybridation des formations technologiquesCNRIUT 2023 Saint Pierre - La Réunion, IUT de Saint Pierre, Jun 2023, Saint Pierre (La Réunion), La Réunion
Communication dans un congrès
hal-04326686
v1
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Real-time embedded large-scale place recognition for autonomous ground vehicles using a spatial descriptorReal-time Processing of Image, Depth and Video Information 2023, Apr 2023, Prague, Czech Republic. pp.2, ⟨10.1117/12.2664942⟩
Communication dans un congrès
hal-04122272
v1
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A stereo vision geometric descriptor for place recognition and its GPU acceleration for autonomous vehicles applicationsXXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI'22, Sep 2022, Nancy, France
Communication dans un congrès
hal-03820240
v1
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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-02393078
v1
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Enhanced Initialization for Track-before-Detection based Multibody Motion Segmentation from a Moving Camera2019 IEEE Intelligent Transportation Systems Conference - ITSC, Oct 2019, Auckland, New Zealand. pp.2040-2045, ⟨10.1109/ITSC.2019.8917018⟩
Communication dans un congrès
hal-02393264
v1
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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-02393213
v1
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Mono-vision based moving object detection in complex traffic scenes28th IEEE Intelligent Vehicles Symposium (IV 2017), Jun 2017, Los Angeles, CA, United States. pp.1078-1084
Communication dans un congrès
hal-01678946
v1
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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-01292529
v1
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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-01098701
v2
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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-01021934
v1
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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-01095614
v1
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Color-Based Road Detection and Its Evaluation on the KITTI Road BenchmarkIEEE Intelligent Vehicles Symposium (IV 2014), Jun 2014, Dearborn, United States. pp.31-36
Communication dans un congrès
hal-01010998
v1
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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-01023389
v1
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Robust visual pedestrian detection by tight coupling to trackingIEEE International Conference On Intelligent Transportation Systems (ITSC), Oct 2014, Qingdao, China. pp.1935 - 1940, ⟨10.1109/ITSC.2014.6957989⟩
Communication dans un congrès
hal-01098703
v1
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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-01075839
v1
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A Multi-Modal System for Road Detection and SegmentationIEEE Intelligent Vehicles Symposium, Jun 2014, Dearborn, Michigan, United States. pp.1365-1370
Communication dans un congrès
hal-01023615
v1
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Multiple Obstacle Detection and Tracking using Stereo Vision: Application and Analysis13th International Conference on Control, Automation, Robotics & Vision (ICARCV), Dec 2014, Singapour, Singapore. pp.1074-1079
Communication dans un congrès
hal-01098783
v1
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Drivable space characterization using automotive lidar and georeferenced map informationIEEE Intelligent Vehicles Symposium (IV 2012), Jun 2012, Alcala de Henares, Spain
Communication dans un congrès
hal-01076059
v1
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Visual Confirmation of Mobile Objects Tracked by a Multi-layer LidarIEEE Conference on Intelligent Transportation Systems (IEEE ITSC2010), Sep 2010, Portugal. pp.IEEE ITSC2010
Communication dans un congrès
hal-00521902
v1
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An Embedded Multi-Modal System for Object Localization and Tracking2010 IEEE Intelligent Vehicles Symposium (IV 2010), Jun 2010, United States. pp.IV 2010
Communication dans un congrès
hal-00521901
v1
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An experiment of a 3D real-time robust visual odometry for intelligent vehicles12th International IEEE Conference on Intelligent Transportation Systems, ITSC '09, Oct 2009, United States. pp.1-6, ⟨10.1109/ITSC.2009.5309615⟩
Communication dans un congrès
hal-00444019
v1
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Extrinsic calibration between a multi-layer lidar and a cameraIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2008, Aug 2008, South Korea. pp.214-219, ⟨10.1109/MFI.2008.4648067⟩
Communication dans un congrès
hal-00444112
v1
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Influence of Intrinsic Parameters over Extrinsic Calibration between a Multi-Layer Lidar and a Camera2nd Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Sep 2008, Nice, France. pp.34
Communication dans un congrès
hal-00464911
v1
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Contributions by Vision Systems to Multi-sensor Object Localization and Tracking for Intelligent VehiclesAutomatic. Université de Technologie de Compiègne, 2010. English. ⟨NNT : ⟩
Thèse
tel-00635330
v1
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Outils et méthodes pour l'étude des interactions véhicules autonomes - opérateurs / passagers humains en situations critiques[Rapport de recherche] SATIE; Paris Saclay; IFFSTAR; Université d'Evry; IBISC. 2018
Rapport
(rapport de recherche)
hal-01762976
v1
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Analyse de scènes dynamiques par des systèmes de perception multimodale embarquésRobotique [cs.RO]. Université Paris-Saclay, 2023
HDR
tel-04052541
v1
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