The advent of autonomous vehicles (AVs) alongside human-driven vehicles (HVs) has
ushered in an era of mixed traffic flow, presenting a significant challenge: the intricate …

In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …

Low-cost autonomous robots suffer from limited onboard computing power, resulting in
excessive computation time when navigating in cluttered environments. This paper presents …

In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …

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 investigates a cooperative motion planning problem for large-scale connected
autonomous vehicles (CAVs) under limited communications, which addresses the …

The development of connected autonomous vehicles (CAVs) facilitates the enhancement of
traffic efficiency in complicated scenarios. In unsignalized roundabout scenarios, difficulties …

In this article, we propose an optimization-based integrated behavior planning and motion
control scheme, which is an interpretable and adaptable urban autonomous driving solution …

Integrating large models (LMs) into future vehicles and transportation systems marks a
significant advancement in mobility and transportation technology. Incorporating artificial …

We present a methodology of cooperative driving in vehicular traffic, in which for short-time
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …