Deep learning network for indoor point cloud semantic segmentation with transferability
Semantic segmentation is crucial for interpreting point cloud data and plays a fundamental
role in automating the creation of as-built BIM. Existing neural network models for semantic …
role in automating the creation of as-built BIM. Existing neural network models for semantic …
[HTML][HTML] A review of road 3D modeling based on light detection and ranging point clouds
B Yu, Y Wang, Q Chen, X Chen, Y Zhang… - Journal of Road …, 2024 - Elsevier
Increasing development of accurate and efficient road three-dimensional (3D) modeling
presents great opportunities to improve the data exchange and integration of building …
presents great opportunities to improve the data exchange and integration of building …
Deep Learning–Based Scan-to-BIM Automation and Object Scope Expansion Using a Low-Cost 3D Scan Data
To bridge the gap in as-built Building Information Model (BIM) creation between the
architectural, engineering, and construction (AEC) community and the computer vision …
architectural, engineering, and construction (AEC) community and the computer vision …
A Bottom-Up Approach for the Automatic Creation of the Digital Staircase Model Using Point Cloud Data and Parametric Prototype Models
A Bulla - 2024 - mediatum.ub.tum.de
In the last decade, there has been a growing interest in the development of DT models for
existing structures and infrastructures in the built environment. In this context, laser scanner …
existing structures and infrastructures in the built environment. In this context, laser scanner …