Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Accurate trajectory tracking is unrealistic in real-world scenarios, however, which is
commonly assumed to facilitate motion planning algorithm design. In this paper, a safe and …

Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and
sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …

In this article, the problem of trajectory tracking control is studied for autonomous vehicle
with consideration of the nonlinearity and coupling characteristics. To achieve accurately …

Road peak friction is a significant parameter determining vehicle driving safety. This paper
focuses on road friction monitoring based on vision for autonomous vehicles. A deep …

This study proposes a novel control scheme for simultaneously tracking and stabilizing
nonholonomic wheeled mobile robots (NWMRs) subject to actuator and sensor faults …

Lane changes require dynamic decision-making and rapid behavior planning, which are
challenging for traffic modeling. We propose a two-dimensional following lane-changing …

Reduced-scale mobile robots (RSMRs) are extensively used for studying autonomous
driving due to their ability to test models and algorithms in physical environments, their lack …

This paper addresses the growing demands for safety and comfort in intelligent robot
systems, particularly autonomous vehicles, where road conditions play a pivotal role in …