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    VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings

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    JCCEE5.CPENG-6508.pdf (2.628Mb)
    Date
    2025
    Author
    Carrara, Andrea
    Nousias, Stavros
    Borrmann, André
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    Abstract
    AbstractThis study introduces a new approach to extracting vector data from technical drawings in Portable Document Format (PDF) format and analyzing them semantically by employing graph attention networks. The proposed method involves converting PDF ...Practical ApplicationsTechnical drawings are essential for communication in the AEC industries; however, manual analysis is often time-consuming and error prone. This study presents an efficient method for automating the segmentation and analysis of ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314393
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