Evolution of close-range detection and data acquisition technologies towards automation in construction progress monitoring
Automated construction progress monitoring is the prevalent domain amongst researchers,
with much potential for improving digital monitoring technologies and related processes …
with much potential for improving digital monitoring technologies and related processes …
Scene understanding in construction and buildings using image processing methods: A comprehensive review and a case study
Acquiring photos and videos has become a new norm in construction and building projects.
However, imagery data is not utilized effectively due to the shortage of required skillsets in …
However, imagery data is not utilized effectively due to the shortage of required skillsets in …
Dataset and benchmark for detecting moving objects in construction sites
A Xuehui, Z Li, L Zuguang, W Chengzhi… - Automation in …, 2021 - Elsevier
Detecting workers and equipment through images/videos can assist in safety monitoring,
quality control, and productivity management at construction sites. Currently, the dominant …
quality control, and productivity management at construction sites. Currently, the dominant …
Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction
Predicting unsafe behaviour in advance can enable remedial measures to be put in place to
mitigate likely accidents on construction sites. Prevailing safety studies in construction tend …
mitigate likely accidents on construction sites. Prevailing safety studies in construction tend …
Automated facility inspection using robotics and BIM: A knowledge-driven approach
Facility inspection is crucial for ensuring the performance of built assets. A traditional
inspection, characterized by humans' physical presence, is laborious, time-consuming, and …
inspection, characterized by humans' physical presence, is laborious, time-consuming, and …
Integrated vision-based automated progress monitoring of indoor construction using mask region-based convolutional neural networks and BIM
Traditional construction progress tracking relies on labor-intensive activities with time lags,
potential man-made errors, and inefficient progress management, which demands for an …
potential man-made errors, and inefficient progress management, which demands for an …
Point cloud-based dimensional quality assessment of precast concrete components using deep learning
The dimensional quality of precast concrete (PC) subcomponents (concrete and rebars)
should be inspected in advance to ensure assembly quality. Currently, PC components are …
should be inspected in advance to ensure assembly quality. Currently, PC components are …
Implications of machine learning integrated technologies for construction progress detection under industry 4.0 (IR 4.0)
The IR 4.0 and automated construction progress detection are greenfield areas among
researchers in current times. However, the implementation of the IR 4.0 theme for progress …
researchers in current times. However, the implementation of the IR 4.0 theme for progress …
Automated recognition and measurement based on three-dimensional point clouds to connect precast concrete components
W Zhao, Y Jiang, Y Liu, J Shu - Automation in Construction, 2022 - Elsevier
The connection between precast concrete (PC) components is vital during the construction
of prefabricated structures. However, PC components are generally inspected and …
of prefabricated structures. However, PC components are generally inspected and …
Transformer-based automated segmentation of recycling materials for semantic understanding in construction
Construction sites are incorporating cameras to gather imagery data for project
management. While transformer-based deep models show promise in recognizing …
management. While transformer-based deep models show promise in recognizing …