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English(EN) LangLoc: "Tell Me What You See"

LangLoc系统使用自然语言进行精确室内定位 · 跟踪2个来源

研究人员推出LangLoc,这是一个新颖的三阶段管道,用于使用自然语言描述进行细粒度室内定位。该系统利用具有CLIP语义特征的双分支GATv2编码器,在场景检索的Top-1召回率方面比以前的方法提高了8个百分点。LangLoc通过对密集楼层网格进行评分来估计位置和航向,中值误差为0.95米,并通过贝叶斯对话模块解决剩余的歧义。该项目还贡献了一个基准数据集,其中包含1300个室内3D扫描中的13,000多个姿态索引的自然语言描述。 AI

影响 引入了一种使用自然语言进行室内定位的新颖方法,有可能改善AI系统中的导航和空间理解。

排序理由 该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种新的室内定位方法。

在 arXiv cs.CV 阅读 →

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LangLoc系统使用自然语言进行精确室内定位 · 跟踪2个来源

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Research
该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种新的室内定位方法。
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2 independent sources
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paper, product
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87 days old
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Shaurya Kishore Panwar, Roham Zendehdel Nobari, Shirley Feng Yi Lau, Abu Bakr Rahman Shaik, Manuel G\"unther, Marc Pollefeys, Daniel Barath ·

    LangLoc:"告诉我你看到了什么"

    arXiv:2607.05077v1 Announce Type: new Abstract: We tackle fine-grained indoor localization from natural language: given a free-form description of one's surroundings, estimate the observer's 2D position and heading within a known 3D environment. Language queries are lightweight, …

  2. arXiv cs.CV TIER_1 English(EN) · Daniel Barath ·

    LangLoc:"告诉我你看到了什么"

    We tackle fine-grained indoor localization from natural language: given a free-form description of one's surroundings, estimate the observer's 2D position and heading within a known 3D environment. Language queries are lightweight, privacy-preserving, and need no camera - yet pri…