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Cedric Pradalier

Cédric Pradalier - Associate Professor - GeorgiaTech Lorraine
9
Documents
Identifiants chercheurs

Présentation

I. Earned Degrees ================= - 2015: HDR in Robotics (French diploma required to supervise PhD students, roughly translates as “Authorization to Supervise Research”): “Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments”, HDR de l'Institut National Polytechnique de Toulouse, 2015, tel-01435879. - 2001-2004: PhD in Computer Science, specialization in Graphics, Computer Vision and Robotics. Title: “Intentional Navigation for a Mobile Robot”. Supervisor: Prof. Christian Laugier. Institution: National Polytechnic Institute of Grenoble / INRIA (France). - 2000-2001: Master of Science in Computer Science, specialization in Graphics, Computer Vision and Robotics. Institution: National Polytechnic Institute of Grenoble / INRIA (France). - 1998-2001: French Ingénieur Degree (very selective degree in the French educative system, usually considered equivalent to a master degree) at ENSIMAG, National School of Computer Science and Applied Mathematics in Grenoble, France. Specialization in compilers and languages. II. Employment ============== - 2012-present: Associate Professor at GeorgiaTech Lorraine, Metz, France. Head of the DREAM lab: Data-driven Robotics for Environment Assessment and Monitoring. Permanent member of the UMI 2958 GT-CNRS, a joint research lab between the CNRS and the Georgia Institute of Technology. - 2007-2012: Deputy Director of the Autonomous Systems Lab (ASL, Director: Prof. R. Siegwart), department of Mechanical Engineering, ETH Zürich (Federal Polytechnic Institute of Zürich), Switzerland. Responsibilities: daily operation of the ASL (approx. 40 people), supervision of the third party grant and budget, research project development and supervision. - 2009-present: Funding member of Skybotix AG, ETH spin-off specialized on the development of micro-air-vehicle for education and industrial application. Responsibilities: initially software development but purely advisorial role at this stage. - 2004-2007: Post-doctoral fellow at the Autonomous Systems Lab (ASL), ICT Center, CSIRO (Commonwealth Scientific and Industrial Research Organisation), Brisbane, Australia. Responsibilities: software development for robotics and automation of industrial vehicles, submarines, etc... III. Grants and Contracts (selection) ===================================== A. European funding (FP7/H2020): -------------------------------- - BugWright2: IA/H2020, 2020-2024, Coordinator, Robotics for Ship Hull Inspection - Flourish: RIA/H2020, 2015-2018, PI, Robotics for Agriculture. - Noptilus: IP/FP7, 2010-2014, PI, Autonomous Underwater Vehicles. - V-Charge: IP/FP7, 2010-2014, Co-PI, Vision-based autonomous car navigation. B. Funding from the European Spacial Agency (ESA): -------------------------------------------------- - ExoMars, 2007-2011: PI, Proposals, development of various prototypes and tools for the ExoMars program. Prime contractor: RUAG Space (Switzerland). - Eurobot Rover Prototype, 2009: PI, proposal, design and development of a space rover for mobile manipulation experiments. Prime contractor: GMV (Spain). Heavy Duty Planetary Chassis, 2011: PI, proposal, design and development of a scalable space rover. Supervision of 1 engineer. Prime contractor: RUAG Space (Switzerland). C. Funding from national agencies: ---------------------------------- • French National Research Agency: “WoodSeer” project, 2020-2024: PI, Machine Learning for the prediction of the interior structure of trees. • Swiss National Fund: “Limnobotics” project, 2010-2013: Co-PI, Study of algae populations using an autonomous surface vessel. • Swiss Commission for Technology and Innovation: “Autonomous Robotic Inspection using High-Precision Localisation”, 2011-2012, PI,

Publications

51241

Reconnaissance automatique des diatomées : évaluation de l’influence des erreurs d’identification sur l’IBD et de l’état écologique des cours d’eau. Exemple du bassin Rhin-Meuse

Aishwarya Venkataramanan , Philippe Usseglio-Polatera , David Heudre , Cedric Pradalier , Martin Laviale
41ème colloque de l’Association des Diatomistes de Langue Française (ADLaF), Sep 2023, Besançon, France
Communication dans un congrès hal-04208711v1
Image document

Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval

Aishwarya Venkataramanan , Martin Laviale , Cédric Pradalier
Computer Vision Systems. ICVS 2023, Sep 2023, Vienne (AUT), Austria. pp.422-431, ⟨10.1007/978-3-031-44137-0_35⟩
Communication dans un congrès hal-04423201v1

Développement d’une approche collaborative pour la collecte et l’analyse des images de diatomées d’eau douce : le cas des tératologies

Iane Vallanzasca , Martin Laviale , Cyril Regan , David Heudre , Carlos E. Wetzel
40ème colloque de l'Association des Diatomistes de Langue Française (ADLaF), Sep 2022, Clermont-Ferrand, France
Communication dans un congrès hal-03791615v1

Regards croisés: Using artificial intelligence for ecology, perspectives from a computer scientist and an ecologist

Martin Laviale , Cedric Pradalier
SFE²-GfÖ-EEF Joint meeting, International Conference on Ecological Sciences, Nov 2022, Metz, France
Communication dans un congrès hal-03879398v1

Tackling inter-class similarity and intra-class variance for microscopic image-based classification

Aishwarya Venkataramanan , Martin Laviale , Cécile Figus , Philippe Usseglio-Polatera , Cedric Pradalier
13th International Conference on Computer Vision Systems (ICVS 2021), Sep 2021, Virtual Event, Austria. ⟨10.1007/978-3-030-87156-7_8⟩
Communication dans un congrès hal-03341742v1