Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Yohan DUPUIS"'
A comparative study of semantic segmentation of omnidirectional images from a motorcycle perspective
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The semantic segmentation of omnidirectional urban driving images is a research topic that has increasingly attracted the attention of researchers, because the use of such images in driving scenes is highly relevant. However, the case of mot
Externí odkaz:
https://doaj.org/article/0e0b1062597f4077951a05ec6a00e084
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10316 (2022)
Ensuring safety in human–robot collaboration is one of the main challenges in mobile robotics today. Semantic maps are a potential solution because they provide semantic knowledge in addition to the geometric representation of the environment. They
Externí odkaz:
https://doaj.org/article/177794821b274e97ae2b981635acb243
Publikováno v:
Sensors, Vol 19, Iss 7, p 1611 (2019)
This paper presents an approach that can be used to measure height of driver’s eyes and rear position lamps from a video, i.e., two important metrics used to set sight distance standards. This data plays an important role in the definition of geome
Externí odkaz:
https://doaj.org/article/61c88ab3fa71491d92157bdad7ffe963
Publikováno v:
Sensors, Vol 17, Iss 7, p 1591 (2017)
Motion capture setups are used in numerous fields. Studies based on motion capture data can be found in biomechanical, sport or animal science. Clinical science studies include gait analysis as well as balance, posture and motor control. Robotic appl
Externí odkaz:
https://doaj.org/article/4a60cabb67c444ba9854abc54e2dcc19
Publikováno v:
Sensors, Vol 17, Iss 5, p 1167 (2017)
Long-term place recognition in outdoor environments remains a challenge due to high appearance changes in the environment. The problem becomes even more difficult when the matching between two scenes has to be made with information coming from differ
Externí odkaz:
https://doaj.org/article/05bfe723910c48338e87c9df7eb2556d
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:14204-14223
Publikováno v:
Robotica. 40:3786-3810
This paper presents a new feature based approach for place recognition using 2D LiDAR (Light Detection And Ranging) data. The main contribution lies in the mapping process. It includes a keypoint selection strategy to model places with persistent key
Publikováno v:
Pattern Analysis and Applications.
The idea of cooperative perception for navigation assistance was intro- duced about a decade ago with the aim to increase safety on dangerous areas like intersections. In this context, roadside infrastructure appeared very recently to provide a new p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d64746a61b06581f90512d9acfd59cf
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