General world models represent a crucial pathway toward achieving Artificial General
Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual …

The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …

World models can foresee the outcomes of different actions, which is of paramount
importance for autonomous driving. Nevertheless, existing driving world models still have …

In an era marked by the rapid scaling of foundation models, autonomous driving
technologies are approaching a transformative threshold where end-to-end autonomous …

Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …

In the rapidly evolving landscape of autonomous driving, the capability to accurately predict
future events and assess their implications is paramount for both safety and efficiency …

End-to-end differentiable learning for autonomous driving (AD) has recently become a
prominent paradigm. One main bottleneck lies in its voracious appetite for high-quality …

Driving world models have gained increasing attention due to their ability to model complex
physical dynamics. However, their superb modeling capability is yet to be fully unleashed …

World models and video generation are pivotal technologies in the domain of autonomous
driving, each playing a critical role in enhancing the robustness and reliability of …

Autonomous Driving (AD) has evolved significantly since its beginnings in the 1980s, with
continuous advancements driven by both industry and academia. Traditional AD systems …