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自动驾驶中基于动作的推理综述:超越文本思维链
原标题:Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving
AI 摘要
该综述研究了自动驾驶中从文本思维链到基于动作的推理的转变,提出以中间表示形式为中心的分类法,将130种方法分为语言、视觉空间、潜在动态和外部化推理四类及13个子类型。分析表明,自动驾驶推理的前沿在于可落地于真实世界、与实时动作耦合且可在安全关键系统中验证的中间表示。
以上摘要由 AI 生成,可能存在误差。事实请以原文为准。
正文节选
Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving Abstract Chain-of-thought (CoT) reasoning powers generative models by eliciting intermediate steps before producing an answer. In autonomous driving, the answer is a continuous action. Thus its reasoning must share the same spatiotemporal structure as the physical world. This survey studies the resulting shift from textual CoT to action-grounded reasoning. Surveying 171 papers, including 130 method pape
发布时间:2026-09-03 12:00
抓取时间:2026-09-03 12:12
来源机构:arXiv