Abstract Research on Connected and Automated Vehicles (CAV) has primarily focused on
highway and urban environments, neglecting the significance and dangers of two-lane two …

For autonomous vehicles, scene understanding is still one of the major challenges, which
needs to be well handled to avoid jittery decisions and unsmooth trajectories. Furthermore …

This abstract discusses the significant progress made in autonomous vehicles, focusing on
decision‐making systems and control algorithms. It explores recent advances, challenges …

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

Enforcing safety while preventing overly conservative behaviors is essential for autonomous
vehicles to achieve high task performance. In this paper, we propose a barrier-enhanced …

This paper introduces a local planner that synergizes the decision making and trajectory
planning modules towards autonomous driving. The decision making and trajectory …

Most of the existing research in the field of autonomous vehicles (AVs) addresses decision
making, planning and control as separate factors which may affect AV performance in …

Ensuring driving operational safety in emergency scenarios is paramount for autonomous
vehicles to prevent accidents, particularly when vehicle motion completely depends on …

The autonomous path planning for obstacle avoidance has garnered great interest of
numerous researchers recently. In this field, the multi-obstacle issue is a challenging but …

Providing safe, smooth, and efficient trajectories for autonomous vehicles has long been a
question of great interest in the field of autopiloting. In dynamic and ever-changing urban …