Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

Y **ng, C Lv, D Cao, P Hang - Transportation research part C: emerging …, 2021 - Elsevier
The last decade witnessed a great development of automated driving vehicles (ADVs) and
vehicle intelligence. The significant increment of machine intelligence poses a new …

Application of physiological sensors for personalization in semi-autonomous driving: A review

EJC Nacpil, Z Wang, K Nakano - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
As automobiles become increasingly autonomous, there is growing interest in personalized
automation based on human behavior. However, there is an increasing need for behavioral …

Indirect shared control for cooperative driving between driver and automation in steer-by-wire vehicles

R Li, Y Li, SE Li, C Zhang, E Burdet… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
It is widely acknowledged that drivers should remain in the control loop before automated
vehicles completely meet real-world operational conditions. This paper presents an “indirect …

Regenerative braking control under sliding braking condition of electric vehicles with switched reluctance motor drive system

Y Zhu, H Wu, C Zhen - Energy, 2021 - Elsevier
To enhance braking energy recovery and improve braking comfort under sliding braking
condition for electric vehicles (EVs) with switched reluctance motor (SRM), a novel …

Hybrid-learning-based driver steering intention prediction using neuromuscular dynamics

Y **ng, C Lv, Y Liu, Y Zhao, D Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The emerging automated driving technology poses a new challenge to driver-automation
collaboration, which requires a mutual understanding between humans and machines …

Characterization of driver neuromuscular dynamics for human–automation collaboration design of automated vehicles

C Lv, H Wang, D Cao, Y Zhao, DJ Auger… - IEEE/ASME …, 2018 - ieeexplore.ieee.org
In order to design an advanced human-automation collaboration system for highly
automated vehicles, research into the driver's neuromuscular dynamics is needed. In this …

Energy recovery based on pedal situation for regenerative braking system of electric vehicle

F Ji, Y Pan, Y Zhou, F Du, Q Zhang… - Vehicle system dynamics, 2020 - Taylor & Francis
Energy recovery is a key technology to improve energy efficiency and extend driving range
of electric vehicle. It is still a challenging issue to maximise energy recovery. We present an …

Energy analysis and optimization design of vehicle electro-hydraulic compound steering system

W Zhao, X Zhou, C Wang, Z Luan - Applied Energy, 2019 - Elsevier
In order to reduce the vehicle steering energy consumption and improve the steering road
feeling, this work proposes an electro-hydraulic compound steering (EHCS) system, which …

Research on interactive steering control strategy between driver and AFS in different game equilibrium strategies and information patterns

X Ji, Y Liu, X Na, Y Liu - Vehicle system dynamics, 2018 - Taylor & Francis
In the past decade, several publications have shown that it is advisable to design an
advanced driver assistance system using a shared control structure. This paper is …

A terminal sliding mode-based individualized trajectory tracking control strategy via haptic assistance

H Zhang, Y Li, W Zhao, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To improve the human-vehicle cooperation and vehicle yaw stability in trajectory tracking, a
terminal sliding mode-based individualized trajectory tracking control strategy via haptic …