Large Language Models (LLMs) have seen significant use in domains such as natural
language processing and computer vision. Going beyond text, image and graphics, LLMs …

Large models are widely used in intelligent transportation systems (ITS) and autonomous
vehicles (AV) due to their excellent new capabilities such as intelligence emergence …

Abstract We present ChatScene a Large Language Model (LLM)-based agent that
leverages the capabilities of LLMs to generate safety-critical scenarios for autonomous …

Simulation with realistic, interactive agents represents a key task for autonomous vehicle
software development. In this work, we introduce the Waymo Open Sim Agents Challenge …

World models have demonstrated superiority in autonomous driving, particularly in the
generation of multi-view driving videos. However, significant challenges still exist in …

Simulation with realistic and interactive agents represents a key task for autonomous vehicle
(AV) software development in order to test AV performance in prescribed, often long-tail …

Simulation plays a crucial role in the development of autonomous vehicles (AVs) due to the
potential risks associated with real-world testing. Although significant progress has been …

Autonomous Driving (AD) encounters significant safety hurdles in long-tail unforeseen
driving scenarios, largely stemming from the non-interpretability and poor generalization of …

As autonomous driving technology matures, end-to-end methodologies have emerged as a
leading strategy, promising seamless integration from perception to control via deep …

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 …