A Hybrid Bottom-up Top-down AI Method for Improved Digital Twinning of the Buildings Using Point Cloud Data and RGB Images
Automated Geometric-Semantic Digital Twinning of Staircases from Dense Laser Scanner Point Clouds by Parametric Prototype
Towards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar
Railway bridge condition assessment based on state-of-the-art reality capture technologies: application to a case study
Harbingers of NeRF-to-BIM: a case study of semantic segmentation on building structure with neural radiance fields
ScaleBIM: Introducing a scalable modular framework to transfer point clouds into semantically rich building information models