Zobrazeno 1 - 10 of 62 pro vyhledávání: '"Nicolas RAGOT"'
1
Akademický článek
A Dataset for Temporal Semantic Segmentation Dedicated to Smart Mobility of Wheelchairs on Sidewalks
Autor: Benoit Decoux, Redouane Khemmar, Nicolas Ragot, Arthur Venon, Marcos Grassi-Pampuch, Antoine Mauri, Louis Lecrosnier, Vishnu Pradeep
Publikováno v: Journal of Imaging, Vol 8, Iss 8, p 216 (2022)
In smart mobility, the semantic segmentation of images is an important task for a good understanding of the environment. In recent years, many studies have been made on this subject, in the field of Autonomous Vehicles on roads. Some image datasets a
Externí odkaz: https://doaj.org/article/8123805c46164e6b9dbf9029758e83eb
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2
Akademický článek
Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility
Autor: Antoine Mauri, Redouane Khemmar, Benoit Decoux, Nicolas Ragot, Romain Rossi, Rim Trabelsi, Rémi Boutteau, Jean-Yves Ertaud, Xavier Savatier
Publikováno v: Sensors, Vol 20, Iss 2, p 532 (2020)
In core computer vision tasks, we have witnessed significant advances in object detection, localisation and tracking. However, there are currently no methods to detect, localize and track objects in road environments, and taking into account real-tim
Externí odkaz: https://doaj.org/article/a0029c118fdc43b796a932d8e8a352ca
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3
Assistive Robotic Technologies for Next-Generation Smart Wheelchairs: Codesign and Modularity to Improve Users’ Quality of Life
Autor: Fabio Morbidi, Louise Devigne, Catalin Stefan Teodorescu, Bastien Fraudet, Émilie Leblong, Tom Carlson, Marie Babel, Guillaume Caron, Sarah Delmas, François Pasteau, Guillaume Vailland, Valérie Gouranton, Sylvain Guégan, Ronan Le Breton, Nicolas Ragot
Publikováno v: IEEE Robotics and Automation Magazine
IEEE Robotics and Automation Magazine, 2023, 30 (1), pp.24-35. ⟨10.1109/MRA.2022.3178965⟩
International audience; This article describes the robotic assistive technologies developed for users of electrically powered wheelchairs, within the framework of the European Union’s Interreg ADAPT (Assistive Devices for Empowering Disabled People
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6abbb5d1360c2ac956bceb3038fbca30
https://doi.org/10.1109/mra.2022.3178965
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4
Object Detection, Localization and Tracking-Based Deep Learning for Smart Wheelchair
Autor: Louis Lecrosnier, Redouane Khemmar, Nicolas Ragot, Romain Rossi, Jean-Yves Ertaud, Benoit Decoux, Yohan Dupuis
Publikováno v: Modelling, Measurement and Control C. 82:1-4
In this article, we present our work regarding the development of advanced driver-assistance systems for an electric-powered wheelchair. Our project aims at improving the autonomy of people with reduced mobility. After conducting a clinical study, we
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::65af3afdbdc50b7e9e29e42fd2470d59
https://doi.org/10.18280/mmc_c.821-401
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6
Efficient dynamic texture classification with probabilistic motifs
Autor: Luong Phat Nguyen, Julien Mille, Dominique H. Li, Donatello Conte, Nicolas Ragot
We propose to tackle dynamic texture video classification as a pattern mining problem. In a nutshell, videos are represented by frequent sequences of representative patches. Firstly, we use a Gaussian Mixture Model to make the clustering of patches f
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff980259bc1e8e85c5b6631cb16c5cca
https://hal.science/hal-03700841
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7
Deep Learning for Document Layout Generation: A First Reproducible Quantitative Evaluation and a Baseline Model
Autor: Hubert Cardot, Romain Carletto, Nicolas Ragot
Publikováno v: 16th International Conference on Document Analysis and Recognition 2021
16th International Conference on Document Analysis and Recognition 2021, Sep 2021, Lausanne, Switzerland. pp.20-35, ⟨10.1007/978-3-030-86334-0_2⟩
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863333
ICDAR (3)
Deep generative models have been recently experimented in automated document layout generation, which led to significant qualitative results, assessed through user studies and displayed visuals. However, no reproducible quantitative evaluation has be
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a316dc9cdbd9a2dc2a9822bd54f7aa1
https://hal.archives-ouvertes.fr/hal-03385806
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8
Automatic Generation of Web Advertising Layouts: A Synthetic Dataset and a Deep Learning Baseline Model
Autor: Hubert Cardot, R. Carletto, Nicolas Ragot
Publikováno v: 11th International Conference on Pattern Recognition Systems
11th International Conference on Pattern Recognition Systems, Mar 2021, Curicó, Chile
International audience; Automatic generation of advertising layouts shows high economic interest, but as identified with our industrial partner, there is no public document layout dataset that matches this particular application. In this context, we
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0473cefd3ec66dee6fe111e5b76583b2
https://doi.org/10.1049/icp.2021.1443
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9
Novel Robotic Assistive Technologies: Choosing Appropriate Training for Healthcare Professionals
Autor: Emilie Leblong, Philippe Gallien, M. Stein, S. Manship, Redouane Khemmar, L. Menard, R. Morris, Nicolas Ragot, Eleni Hatzidimitriadou, A. Petit
Publikováno v: Modelling, measurement and control C
Modelling, measurement and control C, AMSE, 2020, 81 (1-4), pp.43-48. ⟨10.18280/mmc_c.811-408⟩
One of the key challenges for the training of healthcare professionals (HCPs) is to maintain a good understanding and knowledge of new assistive technologies (ATs) that are currently on the market [1]. Indeed, at present, available training on ATs is
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb437d4762d40fc0feb5304a3ad807be
https://hal.archives-ouvertes.fr/hal-03138290
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10
Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility
Autor: Naceur Kefi, Nicolas Ragot, Redouane Khemmar, Benoit Decoux, Romain Rossi, Jean-Yves Ertaud, Louis Lecrosnier
Publikováno v: International Journal of Environmental Research and Public Health
Volume 18
Issue 1
International Journal of Environmental Research and Public Health, Vol 18, Iss 91, p 91 (2021)
International Journal of Environmental Research and Public Health, MDPI, 2021, 18 (1), pp.91. ⟨10.3390/ijerph18010091⟩
This paper deals with the development of an Advanced Driver Assistance System (ADAS) for a smart electric wheelchair in order to improve the autonomy of disabled people. Our use case, built from a formal clinical study, is based on the detection, dep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86b2df771323e5aeb1e441ac90bd7400
https://pubmed.ncbi.nlm.nih.gov/33374389
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