most citedImpact of color and mixing proportion of synthetic point clouds on semantic segmentation

13 citations · 25 across the 3 of their papers we have counts for

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cs.CV2025★ 13 cited

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…