A Foundation Model Approach: Generating Point Clouds for Scan-to-BIM Training and BIM Model Generation
Towards fully automatic Scan-to-BIM: A prototype method integrating deep neural networks and architectonic grammar
Deep-learning guided structural object detection in large-scale, occluded indoor point cloud datasets
ScaleBIM: Introducing a scalable modular framework to transfer point clouds into semantically rich building information models
Determining construction method patterns to automate and optimise scheduling – a graph-based approach
