In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This
has been propelled by the groundbreaking capabilities of generative models both in …

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

The autonomous driving community has witnessed a rapid growth in approaches that
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …

Despite significant recent progress in the field of autonomous driving modern methods still
struggle and can incur serious accidents when encountering long-tail unforeseen events …

The release of nuPlan marks a new era in vehicle motion planning research, offering the first
large-scale real-world dataset and evaluation schemes requiring both precise short-term …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

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 …

Large-scale driving datasets such as Waymo Open Dataset and nuScenes substantially
accelerate autonomous driving research, especially for perception tasks such as 3D …

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

Automated creation of synthetic traffic scenarios is a key part of scaling the safety validation
of autonomous vehicles (AVs). In this paper, we propose Scenario Diffusion, a novel …