Autonomous driving has the ability to reshape mobility and transportation by reducing road
accidents, traffic jams, and air pollution. This can yield energy efficiency, convenience, and …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …

High-speed overtaking is one of the structured driving scenarios of autonomous vehicles
(AVs), and safety and real-time control requirements must be fulfilled during this scenario. In …

This paper presents a comprehensive literature review on intelligent driving technologies,
with a special emphasis on Automatic Emergency Collision Avoidance Technology (AECA) …

Articulated vehicles play a critical role in the transportation industry, but the rise in truck-
related accidents necessitates effective solutions. Autonomous driving presents a promising …

During a basketball game, the ball moves are dynamic, and it is very hard for athletes and
trainers to track every move of the ball. An accurate image tracking of a basketball flight path …

This paper proposes a clothoid-curve-based trajectory tracking control method for
autonomous vehicles to solve the problem of tracking errors caused by the discontinuous …

This paper proposes an integrated strategy of planning and control to address the poor
quality of the generated trajectory by intelligent vehicles. The trajectory planner is designed …

Navigation of agricultural mobile platforms in small-scale orchards poses challenges due to
narrow row-end turning spaces and the need for precise path tracking in the presence of …