3 papers
cs.CV2025
Impact of color and mixing proportion of synthetic point clouds on semantic segmentation
Shaojie Zhou, Jia-Rui Lin, Peng Pan +2
Deep learning (DL)-based point cloud segmentation is essential for understanding built environment. Despite synthetic point clouds (SPC) having the potential to compensate for data…
cs.CV2024
Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data
Yuexiong Ding, Mengtian Yin, Ran Wei +3
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 en…
cs.DB2024
Cypher4BIM: Releasing the Power of Graph for Building Knowledge Discovery
Junxiang Zhu, Nicholas Nisbet, Mengtian Yin +2
Graph is considered a promising way for managing building information. A new graphic form of IFC (Industry Foundation Classes) data has just been developed, referred to as IFC-Grap…