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Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site
Publisher: American Society of Civil Engineers
Abstract: Computer vision–based tracking methods are used to track construction resources for productivity and safety purposes. This type of tracking requires that targets be accurately matched across multiple camera views to obtain ...
Road Design Layer Detection in Point Cloud Data for Construction Progress Monitoring
Publisher: American Society of Civil Engineers
Abstract: Poor performance in transportation construction is well documented, with an estimated $114.3 billion in global annual cost overrun. Studies aimed at identifying the causes highlighted traditional project management ...
TailorAlert: Large Language Model–Based Personalized Alert Generation System for Road Infrastructure Management with Digital Twins
Publisher: American Society of Civil Engineers
Abstract: AbstractDigital twins (DTs) have emerged as a promising tool in road infrastructure management,
enabling real-time monitoring, proactive maintenance, and data-driven decision making.
However, existing digital twin systems ...
Integrating RC Bridge Defect Information into BIM Models
Publisher: American Society of Civil Engineers
Abstract: Reinforced concrete bridges are a vitally important part of modern infrastructure. The status of this infrastructure needs to be monitored on a continuous basis in order to ensure its safety and functionality. This is ...
Digitalizing Road Maintenance: A Novel Approach for the Preparation and Integration of 2D and 3D Road Data through Image Shadow Removal and Point Cloud Densification
Publisher: American Society of Civil Engineers
Abstract: AbstractThe digitalization of road maintenance aims to combine digital technologies and harness
data to revolutionize the current system to improve the safety, costs, and sustainability
of road networks. But still, current ...
Structural Performance Monitoring Using a Dynamic Data-Driven BIM Environment
Publisher: American Society of Civil Engineers
Abstract: Structural health monitoring data has not been fully leveraged to support asset management due to a lack of effective integration with other data sets. A building information modeling (BIM) approach is presented to leverage ...
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