Designing a controller for autonomous vehicles capable of providing adequate performance
in all driving scenarios is challenging due to the highly complex environment and inability to …

Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Autonomous driving of multi-lane vehicle platoons have attracted significant attention in
recent years due to their potential to enhance the traffic-carrying capacity of the roads and …

Rough pavements cause ride discomfort and energy inefficiency for road vehicles. Existing
methods to address these problems are time-consuming and not adaptive to changing …

Automated vehicles require efficient and safe planning to maneuver in uncertain
environments. Largely this uncertainty is caused by other traffic participants, eg, surrounding …

Scenario understanding and motion prediction are essential components for completely
replacing human drivers and for enabling highly and fully automated driving (SAE-Level …

This paper is concerned with a new control method for path tracking of autonomous ground
vehicles. We exploit the fuzzy model-based control framework to deal with the time-varying …

To enhance the active safety performance for automated electric vehicles (AEVs) at driving
limits, the collaborative control of four-wheel steering (4WS) and direct yaw-moment control …

Professional race-car drivers can execute extreme overtaking maneuvers. However, existing
algorithms for autonomous overtaking either rely on simplified assumptions about the …

This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …