Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Liangyao Yu"'
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1215-1227 (2021)
Abstract In case of emergency braking in danger, autonomous vehicle usually uses electronic stability control system to maintain the dynamic stability of the vehicle, and by adjusting the steering system, the vehicle can realize autonomous driving. H
Externí odkaz:
https://doaj.org/article/dc1ab49e0ad94bc8bef4ec1e24fc0deb
Publikováno v:
IEEE Access, Vol 8, Pp 88643-88650 (2020)
Aircraft ground braking control is a complex time-varying dynamic problem, especially when there are unexpected disturbances from lateral wind or visual error. Therefore, under some extreme conditions, it is hard for the pilot to control aircraft bra
Externí odkaz:
https://doaj.org/article/8a5eef23f2794e548634c4ecb8df1669
Publikováno v:
Vehicle System Dynamics. :1-22
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 237:381-392
This paper focuses on both brake safety and ride comfort improvement in the postbraking phase. First, a complete vehicle model is established together with the design of a safety control strategy for the longitudinal deceleration control method. Info
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 237:224-243
Accurate estimation of sideslip angle is essential for vehicle stability control. For commercial vehicles, the estimation of sideslip angle is challenging due to severe load transfer and tire nonlinearity. This paper presents a robust sideslip angle
Publikováno v:
IET Intelligent Transport Systems, Vol 15, Iss 10, Pp 1215-1227 (2021)
In case of emergency braking in danger, autonomous vehicle usually uses electronic stability control system to maintain the dynamic stability of the vehicle, and by adjusting the steering system, the vehicle can realize autonomous driving. However, w
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811938412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e17234467b3b975e7a39bf904221d8bc
https://doi.org/10.1007/978-981-19-3842-9_53
https://doi.org/10.1007/978-981-19-3842-9_53
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT).
With the development of intelligent vehicle driving, the vehicles must be trained through deep learning method. Therefore, the vehicles will be driven on real roads and subjected to traffic and environmental conditions, such as traffic lights, traffi