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

Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …

We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model
into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge …

A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …

Human drivers instinctively reason with commonsense knowledge to predict hazards in
unfamiliar scenarios and to understand the intentions of other road users. However, this …

There is a growing expectation to realize the autonomous dispatch on flight deck, where
dispatch trajectory planning is seen as the key technique. Optimal-control based method has …

Trajectory planning for a heavy-duty mining truck near the loading/dumping sites of an open-
pit mine is difficult. As opposed to trajectory planning for a small-sized passenger car in a …

Trajectory planning for automated parking has been widely known as more challenging than
that for on-road driving due to the nonconvex kinematics, high-dimensional collision …

Lane keeping assistance system (LKAS) is critical components of autonomous driving
technologies, and their reliable operation is crucial to ensure passenger safety and maintain …

This paper proposes an adaptive lane change trajectory planning scheme to road friction
and vehicle speed for autonomous driving, while considering both the maneuver safety and …