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English(EN) CRAB: Cuboid-based Representation for As-built BIM from Point Clouds

CRAB框架以更高精度从点云重建BIM

研究人员开发了CRAB,一个用于从点云重建建筑信息模型(BIM)的新框架。与依赖手动校正或启发式优化的先前方法不同,CRAB结合使用ProposalNet和AssemblyNet来生成代表建筑组件的IFC兼容立方体。该方法旨在提高竣工BIM模型的准确性和完整性,特别是在估算墙体厚度等细节方面。 AI

影响 这项研究可能为建筑行业更自动化、更准确地创建数字孪生铺平道路。

排序理由 该集群描述了一篇新的研究论文,其中详细介绍了一个用于特定技术任务的新颖框架。[lever_c_demoted from research: ic=1 ai=0.7]

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 →

CRAB框架以更高精度从点云重建BIM

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该集群描述了一篇新的研究论文,其中详细介绍了一个用于特定技术任务的新颖框架。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Haoran Xiong, Jing Wang, Shanshan Pan, Zihao Yan, Minglun Gong, Hui Huang ·

    CRAB: Cuboid-based Representation for As-built BIM from Point Clouds

    arXiv:2610.29257v1 Announce Type: new Abstract: As-built BIM reconstruction from point clouds demands semantic, volumetric, parametric, and editable building components, beyond 2D layouts or planar abstractions. Yet existing scan-to-BIM pipelines often rely on handcrafted rules, …