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Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data
Creating geometric digital twins (gDT) for as-built roads still faces many challenges, such as low automation level and accuracy, limited asset types and shapes, and reliance on engineering experience.
Cypher4BIM: Releasing the Power of Graph for Building Knowledge Discovery
This study aims to explore graphic building information query and develop a graph query language tailored for IFC-Graph.
An ontology-aided, natural language-based approach for multi-constraint BIM model querying
Being able to efficiently retrieve the required building information is critical for construction project stakeholders to carry out their engineering and management activities.
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