Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …

Autonomous vehicle control systems are unavoidably influenced by diverse noise
perturbations from the unpredictable external environment and internal system. In this …

The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …

This article presents a new shared control method with a dynamic driver-automation conflict
management for cooperative lane keeping systems (LKS) of automated vehicles. Based on …

Tire characteristics highly influence vehicle dynamics and control performances. Although
extensive research in tire models has been carried out, a general control-oriented tire model …

Effective and friendly human-machine cooperative driving is considered as a feasible
solution to filling the gap between assisted driving and highly automated driving. This paper …

The x-by-wire technology promotes the rapid development of intelligent vehicles, but it
comes with the network delays, which would deteriorate the control performance. Therefore …

This article proposes a fuzzy output feedback steering control method for the vehicle lane
keeping assistance system with aperiodic sampling. First, considering parameter …