Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

Self-Driving Vehicles (SDVs) are increasingly popular, with companies like Google, Uber,
and Tesla investing significantly in self-driving technology. These vehicles could transform …

Human drivers rely on commonsense reasoning to navigate diverse and dynamic real-world
scenarios. Existing end-to-end (E2E) autonomous driving (AD) models are typically …

In recent years, there has been a notable increase in the development of autonomous
vehicle (AV) technologies aimed at improving safety in transportation systems. While AVs …

Large Language Models represent a significant breakthrough in Natural Language
Processing research and opened a wide range of application domains. This paper …

In light of the dynamic nature of autonomous driving environments and stringent safety
requirements, general MLLMs combined with CLIP alone often struggle to represent driving …

Decision-making and motion planning are pivotal in ensuring the safety and efficiency of
Autonomous Vehicles (AVs). Existing methodologies typically adopt two paradigms …

Autonomous driving, as a rapidly growing field, has received increasing attention from the
general society and the automotive industry over the last two decades. However, road …