Denis Pomorski
Publications
Publications
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Machine Learning-Based Microwave Techniques for Dielectric Material Classification2024 IEEE Symposium on Wireless Technology & Applications (ISWTA), Jul 2024, Kuala Lumpur, Malaysia. pp.250-253, ⟨10.1109/ISWTA62130.2024.10651951⟩ |
Nanorobotic Integration with Millimeter-Waves: Advancing Precise Free-Space Sensing2024 25th International Microwave and Radar Conference (MIKON), Jul 2024, Wroclaw, Poland. pp.324-326, ⟨10.23919/MIKON60251.2024.10633954⟩ |
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Machine Learning-Based Monostatic Microwave Radar for Building Material Classification2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2023, Kuala Lumpur, Malaysia. pp.1-5, ⟨10.1109/I2MTC53148.2023.10176071⟩ |
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Plate-forme nano-robotique radar à 60 GHzCNRIUT 2023 Saint Pierre - La Réunion, IUT de Saint Pierre, Jun 2023, Saint Pierre (La Réunion), La Réunion |
A new faster filter based on optimizing the calculation burden of information and Kalman filters15th European/IFAC Workshop on Advanced Control and Diagnosis (ACD'2019), Nov 2019, Bologna, Italy. pp.453-467 |
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WR15 Six-port Interferometric Set-up for Millimeter-wave Characterization for Harsh Environments2022 Photonics & Electromagnetics Research Symposium (PIERS), Apr 2022, Hangzhou, China. pp.414-419, ⟨10.1109/PIERS55526.2022.9792652⟩ |
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Nano-Positioning Test platform for Free-Space Six-Port Interferometric Distance MeasurementsInternational Conference on Antenna Measurements and Applications, CAMA 2021, Nov 2021, Antibes Juan-les-Pins, France. ⟨10.1109/CAMA49227.2021.9703650⟩ |
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Fast and Real-Time Sensor-Fault Detection using Shannon’s Entropy5th International Conference on Control and Fault-Tolerant Systems, Sep 2021, Saint-Raphaël, France. pp.273-278, ⟨10.1109/SysTol52990.2021.9595413⟩ |
Proof-of-concept millimeter-wave free-space nondestructive testing implemented on collaborative mobile robotsInternational Workshop on Metrology for Industry 4.0 & IoT 2020, MetroInd4.0&IoT 2020, Jun 2020, Roma, Italy. pp.354-359, ⟨10.1109/MetroInd4.0IoT48571.2020.9138237⟩ |
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Robots mobiles collaboratifs pour le contrôle non destructif hyperfréquence de structures planairesColloque international Télécom’2019 & 11èmes JFMMA, Jun 2019, Saïda, Maroc |
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An adaptive threshold for change detection methods using a windowed entropy-based criterion - Application to fault-tolerant fusion in collaborative mobile robotics2019 4th Conference on Control and Fault Tolerant Systems (SysTol), Sep 2019, Casablanca, Morocco. pp.56-61, ⟨10.1109/SYSTOL.2019.8864768⟩ |
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Using an adaptive entropy-based threshold for change detection methods – Application to fault-tolerant fusion in collaborative mobile robotics2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2019, Paris, France. pp.1173-1178, ⟨10.1109/CoDIT.2019.8820667⟩ |
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An adaptive threshold for change detection methods using an entropy criterion - Application to fault-tolerant fusion in mobile robotics1st International Conference on Advances in Signal Processing and Artificial Intelligence, ASPAI’2019 (IFSA), Mar 2019, Barcelona, Spain. pp.93-97 |
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Contrôle non destructif par capteur bi-statique micro-ondes embarqué sur robots mobiles collaboratifsJournées Nationales du Réseau Doctoral en Micro-nanoélectronique (JNRDM 2019), Jun 2019, Montpellier, France |
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A Comparative Study of STPA Hierarchical Structures in Risk Analysis: The case of a Complex Multi-Robot Mobile SystemEuropean Conference on Electrical Engineering & Computer Science, EECS 2018, Dec 2018, Bern, Switzerland |
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Nonlinear Control of a differential wheeled mobile robot in real time-Turtlebot 2International Conference on Advanced Technologies and Electrical Engineering (ICTAEE’18), 2018, Skikda, Algeria. pp.12 - 14 |
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Six-Port Reflectometer in WR15 Metallic Waveguide for Free-Space Sensing Applications2018 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet 2018), Jan 2018, Anaheim, United States |
Pilotage de nano-manipulateurs – Application à la nanocaractérisation électriqueCongrès National de la Recherche en IUT (CNRIUT’2017), May 2017, Auxerre, France |
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Complex Safety Study of intelligent multi-robot navigation in risk's environmentThe 51st International Carnahan Conference on Security Technology, Oct 2017, Madrid, Spain. ⟨10.1109/CCST.2017.8167809⟩ |
Fault tolerant collaborative localization for multi-robot system2016 24th Mediterranean Conference on Control and Automation (MED), Jun 2016, Athènes, Greece. ⟨10.1109/MED.2016.7535869⟩ |
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Fault tolerant multi-sensor fusion based on the information gain13th IFAC European Workshop on Advanced Control and Diagnosis (ACD’2016), Nov 2016, Lille, France |
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Fault Tolerant Multi-Sensor Fusion for Multi-Robot Collaborative LocalizationThe 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany |
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Contrôle d’une flotte de robots mobiles via l’environnement Matlab/ROSCongrès National de la Recherche en IUT (CNRIUT’2016), Jun 2016, Nantes, France |
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Fault detection and exclusion method for a tightly coupled localization system2015 International Conference on Advanced Robotics (ICAR), Jul 2015, Istanbul, Turkey |
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Fault Tolerant Fusion Approach Based on Information Theory Applied on GNSS Localization18 th International conference on information fusion (Fusion), Jul 2015, Washington DC, United States |
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Fast multi fault detection & exclusion approach for GNSS integrity monitoringInformation Fusion (FUSION), 2014 17th International Conference on, Jul 2014, Salamanque, Spain |
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Dynamical Reconfiguration Strategy of a Multi Sensor Data Fusion Algorithm Based on Information TheoryIEEE Intelligent Vehicles Symposium, Jun 2013, Gold coast, Australia |
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Fast multi-fault detection and exclusion approach for GNSS integrity monitoring16th IEEE International Conference on Advanced Robotics (ICAR’2013), Nov 2013, Montevideo, Uruguay |
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Distributed control of multi-actor systems: Reinforcement signal by Shannon’s entropyThe 24th European Modelling and Simulation Symposium (Simulation in Industry), EMSS’2012, Sep 2012, Vienna, Austria |
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Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and cameraInternational Conference on Image Processing Theory, Tools and Applications (IPTA'2012), Oct 2012, Istanbul, Turkey. ⟨10.1109/IPTA.2012.6469511⟩ |
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Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoringFusion 2012, Jul 2012, Singapore, Singapore |
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Vehicle Geo-Localization Using IMM-UKF Data Fusion based on Virtual 3D City Model As a Priori InformationThe 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES'12), Jul 2012, ISTANBUL, Turkey |
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Vehicle geo-localization based on IMM-UKF data fusion using a GPS receiver, a video camera, and a 3D city model2011 IEEE Intelligent Vehicles Symposium (IV’2011), Jun 2011, Baden-Baden, Germany. ⟨10.1109/IVS.2011.5940517⟩ |
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Vehicle geo-localization with virtual 3D city modelWorkshop on “Localisation Précise pour les Transports Terrestres”, Jun 2009, Paris, France |
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A novel geo-localisation method using GPS, 3D-GIS and Laser scanner for intelligent vehicle navigation in urban areas14th International Conference on Advanced Robotics - ICAR'2009, Jun 2009, Munich, Germany. pp.1-6 |
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Etude de l’apport d’un modèle 3D virtuel pour la géo-localisation et la détection d’obstacles15ème colloque national de la recherche dans les IUT (CNRIUT’2009), Jun 2009, Lille, France |
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Virtual 3D city model for intelligent vehicle geo-localizationThe 9th IEEE International Conference on ITS Telecommunication (ITST’2009), Oct 2009, Lille, France. ⟨10.1109/ITST.2009.5399306⟩ |
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Fusion de données GPS, vision, Lidar et SIG3D pour la géo-localisation et la détection d’obstacles7èmes Journées Nationales de la Recherche en Robotique (JNRR’2009), Nov 2009, Neuvy-sur-Barangeon, France |
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Multi-sensors data fusion using dynamic bayesian network for robotised vehicle geo-localisation11th International Conference on Information Fusion, Jul 2008, Cologne, Germany. pp.1-8 |
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Multisensor data fusion for geolocalisation in urban areasFusion'2008, 2008, Cologne, Germany |
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Geo-localization in urban areas based on virtual 3D city model and visionIEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, Sep 2008, Nice, France |
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Détection, suivi et géo-localisation d'obstacles à l'aide d'un modèle 3D géo-référencé, une caméra et un GPS : validation avec un lidarConférence Internationale Francophone d'Automatique - CIFA'08, Sep 2008, Bucarest, Roumanie |
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Obstacle detection and localization method based on 3D model: distance validation with LadarIEEE International Conference on Robotics and Automation - ICRA'08, May 2008, Pasadena, United States. pp.4031-4036, ⟨10.1109/ROBOT.2008.4543830⟩ |
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Multi-sensor data fusion for geo-localisation in urban areasEuropean Navigation Conference - Global Navigation Satellite Sytems - ENC-GNSS'08, Apr 2008, Toulouse, France |
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Obstacles detection and localisation with 3D geographical model and monovisionIEEE Intelligent Transportation Systems Conference - ITSC'07, Sep 2007, Seattle, United States. pp.1102-1107 |
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Mise en correspondance d'images réelles avec un modèle 3D géographique pour la localisation terrestrecinquième édition des ateliers de travail sur le traitement et l'analyse de l'information : Méthodes et Applications - TAIMA'07, May 2007, Hammamet, Tunisie. pp.523-528 |
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Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical DatabaseThe 10th International IEEE Conference on Intelligent Transportation Systems - ITSC'07, Oct 2007, Seattle, United States. pp.1102-1107 |
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Localisation in urban environment using GPS and INS aided by monocular vision system and 3D geographical model2007 IEEE Intelligent Vehicles Symposium (IV'07), Jun 2007, Istanbul, Turkey |
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GPS/INS Data Fusion for and Vehicle LocalizationIMACS Multiconference, Computational Engineering in Systems Applications, CESA'2006, Oct 2006, Beijing, China |
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Fusion de données GPS/INS pour le positionnement terrestreTAIMA'2005, Sep 2005, Hammamet, Tunisie |
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Utilisation de l'entropie de Shannon pour l'optimisation de systèmesTAIMA'2005, Sep 2005, Hammamet, Tunisie |
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Shannon’s Entropy for Network OptimizationInternational Conference sur la Modélisation Stochastique et Statistique (MSS’2004), Apr 2004, Alger, Algeria |
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DGPS-INS data fusion for land navigationThe 7th IEEE International Conference on Information Fusion (FUSION’2004), Jun 2004, Stockholm, Sweden |
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Decentralized detection: Optimizing with Bayes’ or entropy-based Criterion?The 6th IEEE International Conference on Information Fusion (FUSION’2003), Jul 2003, Cairns, Australia. ⟨10.1109/ICIF.2003.177334⟩ |
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DGPS-INS data fusion for land navigation2003 Sino-French Workshop on Sensory Evaluation and Intelligent Techniques, Dec 2003, Shanghai, China |
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Optimisation entropique pour les systèmes de détection binaire5ème congrès de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF’2003), Feb 2003, Avignon, France. pp.277-278 |
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Bottom-Up attribute Selection for the induction of decision TreesThe Multiconference on Computational Engineering in Systems Applications CNRS/IMACS/IEEE-SMC (CESA’2003), Jul 2003, Lille, France |
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Apprentissage par arbre de décision pour la prévision des pics de pollutionJournées Inter-Réseaux Atmo’2000, Oct 2000, Bordeaux, France |
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Entropy-based optimisation for binary detection networksThe 3rd IEEE International Conference on Information Fusion (FUSION’2000), Jul 2000, Paris, France. ⟨10.1109/IFIC.2000.859895⟩ |
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Inductive learning approach for fault isolation – Application to the induction motorThe IFAC Symposium on Intelligent Components and Instruments for Control Applications (SICICA’2000), Sep 2000, Buenos Aires, Argentina |
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ICU patient state characterisation using machine learning in a time series frameworkJoint European Conference on Artificial Intelligence in Medicine and Medical Decision Making (AIMDM’99), Jun 1999, Aalborg, Denmark. ⟨10.1007/3-540-48720-4_38⟩ |
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Decision support using machine learning: Towards intensive care unit patient state characterisationThe IFAC/IEEE European Control Conference (ECC’99), Aug 1999, Karlsruhe, Germany |
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Apprentissage de modèles dynamiques pour l’aide à la décision en monitorage médicalJournées Doctorales d’Automatique (JDA’99), Sep 1999, Nancy, France. pp.361-364 |
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Arbres de décision et analyse dynamique de données médicales : Introduction de la notion d’échelleCongrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. pp.159-166 |
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Decision tree induction methods using an entropy criterion – II. Local approachesSecond International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), Sep 1997, Nimes, France. pp.294-299 |
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Classification et compressionCinquièmes Rencontres de la Société Francophone de Classification, Sep 1997, Lyon, France. pp.229-234 |
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Méthodes d’induction par arbre de décision utilisant un critère entropiqueCongrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. pp.81-88 |
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Decision tree induction methods using an entropy criterion – I. Global approachesSecond International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), Sep 1997, Nimes, France. pp.286-293 |
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Apprentissage d’un modèle qualitatif dynamique minimal pour la détection décentraliséeCongrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. pp.89-94 |
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Control process fault diagnosis using fuzzy classification in the parity space22nd International Conference on Computers & Industrial Engineering (ICC&IE’97), Dec 1997, Cairo, Egypt |
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Analysis of dynamical systems based on information theoryWorld Automation Congress (WAC’96), May 1996, Montpellier, France. pp.563-570 |
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A qualitative approach to the change detection problem with different types of sampling1996 IEEE International Conference on Systems, Man, and Cybernetics, Oct 1996, Beijing, China. pp.2498-2503, ⟨10.1109/ICSMC.1996.561308⟩ |
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Sélection de capteurs pour systèmes de détection décentralisée par un algorithme d’apprentissage basé sur l’entropieQuinzième Colloque sur le Traitement du Signal et des Images (GRETSI’95), Sep 1995, Juan-les-Pins, France. pp.917-920 |
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Decision tree induction methods using an entropy criterionSecond International Conference on Industrial Automation, Jun 1995, Nancy, France |
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Machine learning applied to the detection of model changesInternational Conference on Applications of Signals, Data, Systems Methodologies to Engineering Problems, Dec 1992, Alexandria, Egypt |
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Automatic learning from incoherent dataSystems Science XI, Sep 1992, Wroclaw, Poland |
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Covers and partitions for observation based learningIMACS-IFAC Symposium on Modelling and Control of Technological Systems, May 1991, Lille, France. pp.505-510 |
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Modelling complex systems via the analysis of qualitative dataIMACS-IFAC International Symposium on Mathematical and Intelligent Models in System Simulation (MIM-S2’90), Sep 1990, Brussels, Belgium |
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Learning a qualitative model of a complex system via data analysisIFIP - International Conference on Artificial Intelligence & Industrial Application, Apr 1990, Leningrad, Russia. pp.55-60 |
Approches informationnelles pour la fusion tolérante aux fautes – Application à la robotique mobile5ème Journée Régionale des Doctorants en Automatique, Jul 2018, Amiens, France |
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Generalization in automatic learning using aggregation and prolongationJournées Internationales “Analyse de Données et Apprentissage Symbolique-Numérique”, Sep 1991, Paris, France. Journées Internationales “Analyse de Données et Apprentissage Symbolique-Numérique” |
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Control and automation for miniaturized microwave GSG nanoprobingMachine Vision and Navigation, Springer International Publishing, pp.751-768, 2020, ⟨10.1007/978-3-030-22587-2_24⟩ |
Fault-tolerant Data-fusion Method: Application on Platoon Vehicle LocalizationNada Matta and Yves Vandenboomgaerde and Jean Arlat. Supervision and Safety of Complex Systems, Wiley-ISTE, 2012, 978-1-84821-413-2 |
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Localisation intègre de véhicules avec fusion multi-capteurs tolérante aux défaillancesNda Matta, Yves Vanderboomgaerde, Jean Arlat. Supervision, surveillance et sûreté de fonctionnement des grands systèmes, Hermes, Lavoisier, pp.55-94, 2012, Traité IC2 Série Systèmes automatisés, 2746238403 |
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Modelling complex systems via the analysis of qualitative dataR. Hanus, P. Kool and S. Tzafestas. Mathematical and Intelligent Models in System Simulation, J.C. Baltzer AG, Sc. Pub. Co., pp.253-257, 1991 |
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Learning a qualitative model of a complex system via data analysisJ.L. Alty and L.I. Mikulich. Industrial Applications of Artificial Intelligence, Elsevier, pp.285-291, 1991 |