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Showing papers from Afari Intelligent Drive Show all papers

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ChainFlow-VLA: Causal Flow Planning with Vision-Language Models

ChainFlow-VLA unifies causal trajectory generation and global diffusion refinement via vision-language-conditioned residual distributions, scoring 94.85 on NAVSIM v1.

Xiyang Wang, Xinlin Wang, Tingguang Zhou, Gong Chen and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
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CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving

CoWorld-VLA embeds multi-expert world tokens into vision-language-action models and couples diffusion planning with scene context to generate continuous ego trajectories, improving autonomous driving performance.

Jingqi Wang, minqing huang, Zihan Liang, Yujiao Xiang and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5