Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention
in the academies and industries because of its powerful conversational ability with human …

Autonomous vehicles (AVs) have the potential to significantly revolutionize society by
providing a secure and efficient mode of transportation. Recent years have witnessed …

Planning appropriate driving trajectory for route following is an important function for
autonomous driving. Behavioral cloning, which allows automatic trajectory learning and …

Autonomous driving has attracted considerable attention from research and industry
communities. Although prototypes of automated vehicles (AVs) are developed, remaining …

Decision-making for urban autonomous driving is challenging due to the stochastic nature of
interactive traffic participants and the complexity of road structures. Although reinforcement …

Imitation learning addresses the challenge of learning by observing an expert's
demonstrations without access to reward signals from environments. Most existing imitation …

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 …

Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained
Transformer (ChatGPT) has achieved remarkable success in the language processing field …

Automated driving systems need to behave as human-like as possible, especially in highly
interactive scenarios. In this way, the behavior can be better interpreted and predicted by …