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 …

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

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

Closed-loop simulation is essential for advancing end-to-end autonomous driving systems.
Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on …

World models are receiving increasing attention in autonomous driving for their ability to
predict potential future scenarios. In this paper, we present BEVWorld, a novel approach that …

With the development of artificial intelligence and breakthroughs in deep learning, large-
scale foundation models (FMs), such as generative pre-trained transformer (GPT), Sora, etc …

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 …

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 …

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 …

Large Language Models (LLMs) have showcased remarkable proficiency in various
information-processing tasks. These tasks span from extracting data and summarizing …