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Artificial intelligence in structural health management of existing bridges
The paper presents a systematic review about the use of artificial intelligence (AI) in the field
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …
A decade of modern bridge monitoring using terrestrial laser scanning: Review and future directions
Over the last decade, particular interest in using state-of-the-art emerging technologies for
inspection, assessment, and management of civil infrastructures has remarkably increased …
inspection, assessment, and management of civil infrastructures has remarkably increased …
Point cloud and machine learning-based automated recognition and measurement of corrugated pipes and rebars for large precast concrete beams
It is important for quality inspection to quickly identify the correctness of the installation
position of corrugated pipes and rebars on construction site. A point clouds and machine …
position of corrugated pipes and rebars on construction site. A point clouds and machine …
Review of artificial intelligence-based bridge damage detection
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …
damage. If the initial damage is not detected in time, it can develop further causing safety …
Automated semantic segmentation of bridge point cloud based on local descriptor and machine learning
In recent years, monitoring the health condition of existing bridges has become a common
requirement. By providing an information management system, Bridge Information Model …
requirement. By providing an information management system, Bridge Information Model …
Digital twin technology for bridge maintenance using 3d laser scanning: A review
There has been a significant surge in the interest in adopting cutting‐edge new technologies
in the civil engineering industry in recent times that monitor the Internet of Things (IoT) data …
in the civil engineering industry in recent times that monitor the Internet of Things (IoT) data …
[HTML][HTML] Semantic segmentation of bridge components based on hierarchical point cloud model
JS Lee, J Park, YM Ryu - Automation in Construction, 2021 - Elsevier
Geometric information such as the volumetric dimensions and type of a bridge can be
retrieved by means of a terrestrial laser scanner, and the point cloud (PC) data thus obtained …
retrieved by means of a terrestrial laser scanner, and the point cloud (PC) data thus obtained …
Vision-based navigation planning for autonomous post-earthquake inspection of reinforced concrete railway viaducts using unmanned aerial vehicles
This research proposes an approach for vision-based autonomous navigation planning of
unmanned aerial vehicles for the collection of images suitable for the rapid post-earthquake …
unmanned aerial vehicles for the collection of images suitable for the rapid post-earthquake …
[HTML][HTML] Automating the retrospective generation of As-is BIM models using machine learning
The manual creation of digital models of existing buildings for operations and maintenance
is difficult and time-consuming. Machine learning and deep learning techniques have …
is difficult and time-consuming. Machine learning and deep learning techniques have …
Automated semantic segmentation of bridge components from large-scale point clouds using a weighted superpoint graph
Deep learning techniques have the potential to provide versatile solutions for automated
semantic segmentation of bridge point clouds, but previous studies were limited to small …
semantic segmentation of bridge point clouds, but previous studies were limited to small …