Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Manuela Gennesseaux"'
Publikováno v:
Lubricants, Vol 12, Iss 1, p 2 (2023)
This paper presents an evaluation of a system aiming at estimating water depths on a road surface. Using accelerometers, the system records the vibrations of a wheel arch liner due to impacts of water droplets. The system setup, including the locatio
Externí odkaz:
https://doaj.org/article/9f5c2e7bbc304e03ab64f22951c55420
Autor:
Ebrahim Riahi, Wiyao Edjeou, Manuela Gennesseaux, Sebastien Buisson, Veronique Cerezo, Minh-Tan Do
Publikováno v:
Engineering Proceedings, Vol 36, Iss 1, p 18 (2023)
The paper presents an accelerometer-based system that can be implemented in a passenger car to estimate water depths on a road surface. Tests conducted on various road surfaces at different vehicle speeds allow the determination of an appropriate loc
Externí odkaz:
https://doaj.org/article/b74ca0e254264ad99420d73a5387982d
Autor:
Xavier Dauptain, Aboubakar Koné, Damien Grolleau, Veronique Cerezo, Manuela Gennesseaux, Minh-Tan Do
Publikováno v:
Sensors, Vol 22, Iss 24, p 9661 (2022)
This paper describes the conception of a high level, compact, scalable, and long autonomy perception and localization system for autonomous driving applications. Our benchmark is composed of a high resolution lidar (128 channels), a stereo global shu
Externí odkaz:
https://doaj.org/article/2e414dbf3aab42dca502905563aeaf9a
Publikováno v:
Sensors, Vol 22, Iss 22, p 8940 (2022)
The paper presents an experimental study conducted to evaluate the feasibility of using accelerometers as an indirect means to estimate water depths on road surfaces. It makes use of the vibration of the vehicle’s wheel arch due to water droplets p
Externí odkaz:
https://doaj.org/article/1753c39d8dae42e0810e2e5d20767ffc
Autor:
José Breno Ferreira Quariguasi, Francisco Heber Lacerda de Oliveira, Minh-Tan Do, Manuela Gennesseaux
Publikováno v:
Roads and Airports Pavement Surface Characteristics ISBN: 9781003429258
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147628b88108767aa3896ee4ea1cb883
https://doi.org/10.1201/9781003429258-50
https://doi.org/10.1201/9781003429258-50
Autor:
Do, Xavier Dauptain, Aboubakar Koné, Damien Grolleau, Veronique Cerezo, Manuela Gennesseaux, Minh-Tan
Publikováno v:
Sensors; Volume 22; Issue 24; Pages: 9661
This paper describes the conception of a high level, compact, scalable, and long autonomy perception and localization system for autonomous driving applications. Our benchmark is composed of a high resolution lidar (128 channels), a stereo global shu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::c3e228be3197bb0df00da6101e92986c
Publikováno v:
Sensors; Volume 22; Issue 22; Pages: 8940
The paper presents an experimental study conducted to evaluate the feasibility of using accelerometers as an indirect means to estimate water depths on road surfaces. It makes use of the vibration of the vehicle’s wheel arch due to water droplets p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::5bc9d6477095e4318cbad7d3ef20ac5d