---
id: 20260625-T0-08
title: "Neuro-Symbolic Drive：通过规则锚定提升自动驾驶模型推理准确性"
title_en: "Neuro-Symbolic Drive Anchors Rules for Faithful Driving Reasoning"
url: https://ai.daily.yangsir.net/daily/20260625-T0-08
issue_date: 2026-06-25
publish_date: 2026-06-24T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.23938
---

# Neuro-Symbolic Drive：通过规则锚定提升自动驾驶模型推理准确性

针对自动驾驶 VLA 模型推理缺乏可解释性的问题，研究提出了神经符号驱动方案。该方案利用符号规则作为逻辑锚点，强制模型的思维链遵循物理定律和交通规则。测试显示，该方法有效减少了幻觉和逻辑跳跃，提升了复杂场景下的决策可靠性。

## English Version

**Neuro-Symbolic Drive Anchors Rules for Faithful Driving Reasoning**

To address uninterpretable reasoning in Driving VLA models, this research proposes Neuro-Symbolic Drive. It uses symbolic rules as anchors to force Chain-of-Thought to comply with physical laws, significantly reducing hallucinations and improving decision reliability in complex scenarios.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.23938)

**详情页**：https://ai.daily.yangsir.net/daily/20260625-T0-08

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