Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Stefano, Carrino"'
Autor:
Marine Capallera, Quentin Meteier, Emmanuel De Salis, Marino Widmer, Leonardo Angelini, Stefano Carrino, Andreas Sonderegger, Omar Abou Khaled, Elena Mugellini
Publikováno v:
IEEE Access, Vol 11, Pp 5746-5771 (2023)
Advanced driver assistances are becoming increasingly common in commercial cars, not only to assist but also to free drivers from manual driving whenever possible. Soon, drivers should be allowed to engage in non-driving-related tasks. The fact that
Externí odkaz:
https://doaj.org/article/8a681489b44c40f2b04c158d7292b86d
Autor:
Quentin Meteier, Marine Capallera, Emmanuel de Salis, Leonardo Angelini, Stefano Carrino, Marino Widmer, Omar Abou Khaled, Elena Mugellini, Andreas Sonderegger
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 109027- (2023)
This dataset contains data of 346 drivers collected during six experiments conducted in a fixed-base driving simulator. Five studies simulated conditionally automated driving (L3-SAE), and the other one simulated manual driving (L0-SAE). The dataset
Externí odkaz:
https://doaj.org/article/129c38fb128a411ea4872580c5ac7364
Autor:
Maurizio Caon, Federica Prinelli, Leonardo Angelini, Stefano Carrino, Elena Mugellini, Silvia Orte, José C. E. Serrano, Sarah Atkinson, Anne Martin, Fulvio Adorni
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
BackgroundObesity amongst children and adolescents is becoming a major health problem globally and mobile food records can play a crucial role in promoting healthy dietary habits.ObjectiveTo describe the methodology for the implementation of the e-Di
Externí odkaz:
https://doaj.org/article/f8252f4772574352bd759caeabe49356
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
A novel method based on Non-linear Lamb waves behavior and Local Defect Resonance (LDR) is proposed for locating and evaluating disbonds in Single-Lap Joints (SLJ) typically used in aerospace industry. The presence of damages/defects such as disbonds
Externí odkaz:
https://doaj.org/article/232d91c5d9174c0f97e70dd7b8b7fb88
Autor:
Laszlo Barna Iantovics, Adrian Gligor, Vicente Rodríguez Montequín, Zoltán Balogh, Ivana Budinská, Emil Gatial, Stefano Carrino, Hatem Ghorbel, Jonathan Dreyer
Publikováno v:
Acta Marisiensis. Seria Technologica. 19:12-19
Predictive methods represent techniques commonly met in Industry 4.0 that offer a way to early predict or detect faults of machines, devices or tools. This is useful to anticipate failures with the main goal of improving maintenance planning. Making
Autor:
Quentin Meteier, Marine Capallera, Emmanuel De Salis, Leonardo Angelini, Stefano Carrino, Omar Abou Khaled, Elena Mugellini, Andreas Sonderegger
Publikováno v:
IHM '23: Proceedings of the 34th Conference on l'Interaction Humain-Machine.
In conditionally automated driving, several factors can affect the driver’s situation awareness and ability to take over control. To better understand the influence of some of these factors, 88 participants spent 20 minutes in a conditionally autom
Autor:
Stefano Carrino, Jonathan Guerne, Jonathan Dreyer, Hatem Ghorbel, Alain Schorderet, Raphael Montavon
Publikováno v:
Proceedings, Vol 63, Iss 1, p 31 (2020)
The online automatic estimation of the quality of products manufactured in any machining process without any manual intervention represents an important step toward a more efficient, smarter manufacturing industry. Machine learning and Convolutional
Externí odkaz:
https://doaj.org/article/7fbb2474e8ce41f5a7256229a1f81b34
Publikováno v:
Fatigue & Fracture of Engineering Materials & Structures. 44:2751-2763
Experimental fatigue tests performed on riveted carbon fiber laminates showed that the specimens, after some thousands of cycles, heated up, reaching around the rivet holes high temperatures. These temperatures if not properly controlled could be det
Publikováno v:
Materials Today: Proceedings. 34:1-9
Composite materials, in addition to the high specific mechanical properties, have properties enabling their applications in high-pressure, high-temperature (HPHT) and corrosive environment as occurs in deep water. Their use for manufacturing pipeline
Autor:
Emmanuel De Salis, Quentin Meteier, Marine Capallera, Colin Pelletier, Leonardo Angelini, Omar Abou Khaled, Elena Mugellini, Marino Widmer, Stefano Carrino
Publikováno v:
Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy.
ContextConditionally autonomous vehicles are studied for numerous reasons, due to the dual responsibility in the driving task, switching from the car to the driver depending on the situation. This transition of control, namely the takeover, is usuall