Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Romain Rossi"'
Autor:
Firas Jendoubi, Vishnu Pradeep, Redouane Khemmar, Tahar Berradia, Romain Rossi, Benjamin Sibbille, Jérémy Fourre, Avigaël Ohayon, Mohammad Jouni
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 338 (2023)
In the field of smart mobility, Artificial Intelligence (AI) approaches are influential and can make a highly beneficial contribution. Our project aims to develop a real-time ecological map of road traffic. This map will allow electric vehicles (EVs)
Externí odkaz:
https://doaj.org/article/3100e8cde5264e9bb37b7b1e2574afa1
Autor:
Vishnu Pradeep, Redouane Khemmar, Louis Lecrosnier, Yann Duchemin, Romain Rossi, Benoit Decoux
Publikováno v:
Sensors, Vol 22, Iss 14, p 5241 (2022)
The real-time segmentation of sidewalk environments is critical to achieving autonomous navigation for robotic wheelchairs in urban territories. A robust and real-time video semantic segmentation offers an apt solution for advanced visual perception
Externí odkaz:
https://doaj.org/article/0cb4b1bb20a94e8c881afa5eea6b14d3
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
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
Publikováno v:
Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems ISBN: 9781003339847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7352f438710c5e52e59f576f949ad2d8
https://doi.org/10.1201/9781003339847-14
https://doi.org/10.1201/9781003339847-14
Publikováno v:
2022 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMCSI).
Publikováno v:
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems, Springer Verlag, 2021, 103 (4), ⟨10.1007/s10846-021-01519-7⟩
Journal of Intelligent and Robotic Systems, Springer Verlag, 2021, 103 (4), ⟨10.1007/s10846-021-01519-7⟩
International audience; Autonomous navigation is a key defining feature that allows agricultural robots to perform automated farming tasks. Global navigation satellite system (GNSS) technology is providing autonomous navigation solutions for current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f983fe4e53947b4253e31bde56cd47d9
https://hal.archives-ouvertes.fr/hal-03424546/document
https://hal.archives-ouvertes.fr/hal-03424546/document
Publikováno v:
CASE
Local perception navigation methods allow agricultural robots to accurately track crop row structures while performing automated farming tasks. The integration of these methods as a part of a fully autonomous navigation solution requires continuous a
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⟩
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
Detection, Localisation et Tracking d’Objets basé Deep Learning pour un Fauteuil Roulant Intelligent
Autor:
Redouane Khemmar, Louis Lecrosnier, Romain Rossi, Jean-Yves Ertaud, France Rouvray, Jean-Yves Ertaud@esigelec, Benoit Decoux, Dupuis Yohan
Publikováno v:
Handicap 2020 Technologies pour l'autonomie et l'inclusion
Handicap 2020 Technologies pour l'autonomie et l'inclusion, Nov 2020, Paris, France
HAL
Handicap 2020 Technologies pour l'autonomie et l'inclusion, Nov 2020, Paris, France
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5312282436a09606fca77413d116f82c
https://hal.archives-ouvertes.fr/hal-02989535/file/Handicap_2020.pdf
https://hal.archives-ouvertes.fr/hal-02989535/file/Handicap_2020.pdf