Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

Trajectory tracking control, as one of the core technologies of intelligent driving vehicles,
determines the driving performance and safety of intelligent driving vehicles and has …

In the research of autonomous vehicles, most existing studies treat the decision/planning
and control as two separate problems. This idea originates from robotics. But since there are …

Decision-making and motion planning are extremely important in autonomous driving to
ensure safe driving in a real-world environment. This study proposes an online evolutionary …

Automated vehicles with parallel autonomy show advantages over fully automated vehicles
and manual driving. This paper proposes a hierarchical motion planning method that mixes …

Abstract Model predictive control is widely used in the design of autonomous driving
algorithms. However, its parameters are sensitive to dynamically varying driving conditions …

The uncertainties in tire cornering stiffness can degrade the path following the performance
of autonomous vehicles, especially in low adhesive conditions, to deal with this problem, a …

Connectivity is a key element enabling intelligent vehicles to communicate with each other
and the Smart Road. In general, the connectivity is allowed by an On‐Board Unit enabling …

Scenario-based testing is an important verification and certification measure to evaluate the
safety of automated vehicles. In view of the existing test scenario composition methods …

Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained
Transformer (ChatGPT) has achieved remarkable success in the language processing field …