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English(EN) Road Infrastructure Perception for Autonomous Driving: Taxonomy, Representations, Tasks, and Challenges

自动驾驶道路基础设施感知综述

本文全面综述了面向自动驾驶的道路基础设施感知,将现有研究组织为几何结构、功能空间和监管语义类别。文章回顾了感知模态、场景表示、方法和基准,强调了该领域向更复杂的场景建模的转变。综述还指出了当前基准在推理、一致性和面向规划的评估方面的局限性,并讨论了统一表示、泛化和评估的未来研究方向。 AI

影响 为推进自动驾驶感知系统提供了基础分类法并指出了关键挑战。

排序理由 该条目是一篇学术论文,综述了人工智能领域的一个特定技术领域。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

自动驾驶道路基础设施感知综述

本文如何被排名

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该条目是一篇学术论文,综述了人工智能领域的一个特定技术领域。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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Same-day
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Guoyang Zhao, Weiqing Qi, Kai Zhang, Zhihai Bi, Tianshuai Hu, Zeying Gong, Dezong Zhao, Jun Ma ·

    面向自动驾驶的道路基础设施感知:分类、表示、任务与挑战

    arXiv:2610.33758v1 Announce Type: new Abstract: Road infrastructure perception is a fundamental component of autonomous driving, as it recovers the structured road elements that define roadway geometry, delimit operational space, and encode traffic regulations. Although individua…