Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Benoit Decoux"'
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
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
Publikováno v:
Sensors, Vol 22, Iss 7, p 2654 (2022)
On-road behavior analysis is a crucial and challenging problem in the autonomous driving vision-based area. Several endeavors have been proposed to deal with different related tasks and it has gained wide attention recently. Much of the excitement ab
Externí odkaz:
https://doaj.org/article/bbcda2a379434269a896ba4ea3218fa4
Publikováno v:
Journal of Imaging, Vol 7, Iss 8, p 145 (2021)
For smart mobility, autonomous vehicles, and advanced driver-assistance systems (ADASs), perception of the environment is an important task in scene analysis and understanding. Better perception of the environment allows for enhanced decision making,
Externí odkaz:
https://doaj.org/article/065d796043354852b6ef0247d72c2319
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:
International Journal of Computer Applications
International Journal of Computer Applications, Foundation of Computer Science, 2020, 176 (42), pp.34-38. ⟨10.5120/ijca2020920539⟩
International Journal of Computer Applications, Foundation of Computer Science, 2020, 176 (42), pp.34-38. ⟨10.5120/ijca2020920539⟩
International audience
Autor:
Tahar Benmoumen, Redouane Khemmar, Benoit Decoux, Rémi Boutteau, Madjid Haddad, Antoine Mauri
Publikováno v:
8th International Conference on Smart Computing and Communications (ICSCC 2021)
8th International Conference on Smart Computing and Communications (ICSCC 2021), Jul 2021, Kochi, India
8th International Conference on Smart Computing and Communications (ICSCC 2021), Jul 2021, Kochi, India
In autonomous vehicle systems, the quality of scene perception is of great importance for security preoccupation in road environments. In this context, an accurate localization of potential obstacles is one of the most challenging tasks. In recent ye
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