3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review
Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …
throughout the life cycle of construction and infrastructure projects. While applicable for …
Computational methods of acquisition and processing of 3D point cloud data for construction applications
Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …
photogrammetry are able to capture the 3D surface geometries of target objects in an …
Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018
Abstract 3D point cloud data obtained from laser scans, images, and videos are able to
provide accurate and fast records of the 3D geometries of construction-related objects. Thus …
provide accurate and fast records of the 3D geometries of construction-related objects. Thus …
Deep learning approach to point cloud scene understanding for automated scan to 3D reconstruction
Construction progress estimation to ensure high productivity and quality is an essential
component of the daily construction cycle. However, using three-dimensional (3D) laser …
component of the daily construction cycle. However, using three-dimensional (3D) laser …
Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industry
Point clouds acquired through laser scanning and stereo vision techniques have been
applied in a wide range of applications, proving to be optimal sources for mapping 3D urban …
applied in a wide range of applications, proving to be optimal sources for mapping 3D urban …
Scan2BIM-NET: Deep learning method for segmentation of point clouds for scan-to-BIM
Y Perez-Perez, M Golparvar-Fard… - Journal of Construction …, 2021 - ascelibrary.org
The architecture, engineering, and construction (AEC) industry perform thousands of scans
each year. The majority of these point clouds are used for generating three-dimensional …
each year. The majority of these point clouds are used for generating three-dimensional …
Toward building and civil infrastructure reconstruction from point clouds: A review on data and key techniques
Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning
Inaccurate information regarding the terrain in construction projects represents a major
challenge to the earthwork process. Both construction quality and productivity have to be …
challenge to the earthwork process. Both construction quality and productivity have to be …
[HTML][HTML] Automatic recognition of common structural elements from point clouds for automated progress monitoring and dimensional quality control in reinforced …
This manuscript provides a robust framework for the extraction of common structural
components, such as columns, from terrestrial laser scanning point clouds acquired at …
components, such as columns, from terrestrial laser scanning point clouds acquired at …
Performance evaluation of 3D descriptors for object recognition in construction applications
Abstract 3D object recognition from field-acquired point cloud data is important for modeling,
manipulation, visualization and other post-processing tasks in the construction domain …
manipulation, visualization and other post-processing tasks in the construction domain …