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5 papers

cs.CV2026

Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding

Yueru Luo, Xu Yan, Changqing Zhou +5

Understanding and complying with traffic regulations is a safety-critical requirement for autonomous driving, yet remains challenging due to the diversity and context dependence of…

cs.CV2026

ABot-3DWorld 0: A Universal World Model to Explore Any 3D Space

Mingchao Sun, Luyang Tang, Yu Liu +34

The paper introduces ABot-3DWorld 0, a multimodal system that converts text, images, or video into high‑fidelity, explorable 3D worlds using a compact spatial representation and pa…

cs.CV2026

DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving

Yiyao Zhu, Ying Xue, Haiming Zhang +8

Vision-based autonomous driving has gained much attention due to its low costs and excellent performance. Compared with dense BEV (Bird's Eye View) or sparse query models, Gaussian…

cs.CV2026

Reliev3R: Relieving Feed-forward Reconstruction from Multi-View Geometric Annotations

Youyu Chen, Junjun Jiang, Yueru Luo +4

With recent advances, Feed-forward Reconstruction Models (FFRMs) have demonstrated great potential in reconstruction quality and adaptiveness to multiple downstream tasks. However,…

cs.CV2024

D-World: An Efficient World Model through Decoupled Dynamic Flow

Haiming Zhang, Xu Yan, Ying Xue +4

This technical report summarizes the second-place solution for the Predictive World Model Challenge held at the CVPR-2024 Workshop on Foundation Models for Autonomous Systems. We i…