Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action Consistency
High-level planning for autonomous driving is a knowledge-intensive engineering decision task that requires accurate scene understanding, timely inference, and internally consistent action selection. Vision-language models (VLMs) can make intermediate reasoning explicit, but their use in deployed planners is constrained by costly structured supervision, unnecessary reasoning in routine scenes, and possible inconsistencies between generated rationales and driving actions. We present a cognitive dual-process planning framework that represents planning-relevant scene knowledge in a machine-parsab
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 52%Learning Structured Reasoning via Tractable Trajectory Control - Apple Machine Learning Research →
- FuzzySimilar title/name (fuzzy) · 84%liguodongiot/llm-action →
“Fuzzy title match (0.92): “Cognitive Dual-Process Planning for Autonomous Driving with ” ≈ “liguodongiot/llm-action””
- LinkedLinked via arxiv author · 85%Zhongyao Yang →
“Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action C”
- LinkedLinked via arxiv author · 85%Haoyu Li →
“Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action C”
- LinkedLinked via arxiv author · 85%Hongyu Yan →
“Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action C”
- LinkedLinked via arxiv author · 85%Zhuangxuan Yu →
“Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action C”
- LinkedLinked via arxiv author · 85%Jiangfeng Nan →
“Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action C”
- LinkedLinked via arxiv author · 85%Jinrui Nan →
“Cognitive Dual-Process Planning for Autonomous Driving with Structured Scene Knowledge and Verifiable Reasoning-Action C”