This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …

Generating realistic and controllable agent behaviors in traffic simulation is crucial for the
development of autonomous vehicles. This problem is often formulated as imitation learning …

Data-driven autonomous driving motion generation tasks are frequently impacted by the
limitations of dataset size and the domain gap between datasets, which precludes their …

In this paper, we introduce a novel approach for autonomous driving trajectory generation by
harnessing the complementary strengths of diffusion probabilistic models (aka, diffusion …

The evaluation and training of autonomous driving systems require diverse and scalable
corner cases. However, most existing scene generation methods lack controllability …