World models, especially in autonomous driving, are trending and drawing extensive
attention due to their capacity for comprehending driving environments. The established …

Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …

Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …

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

State-of-the-art approaches for autonomous driving integrate multiple sub-tasks of the
overall driving task into a single pipeline that can be trained in an end-to-end fashion by …

In the context of autonomous driving, sensing systems play a crucial role, and their accuracy
and reliability can significantly impact the overall safety of autonomous vehicles. Despite …

In recent years, vision-centric perception has played a crucial role in autonomous driving
tasks, encompassing functions such as 3D detection, map construction, and motion …

Recent advances in diffusion models have significantly enhanced the cotrollable generation
of streetscapes for and facilitated downstream perception and planning tasks. However …

Autonomous driving has rapidly developed and shown promising performance due to recent
advances in hardware and deep learning techniques. High-quality datasets are fundamental …

Navigating autonomous vehicles efficiently across unstructured and off-road terrains
remains a formidable challenge, often requiring intricate mapping or multi-step pipelines …