Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future

J Yang, MW Park, PA Vela, M Golparvar-Fard - Advanced Engineering …, 2015 - Elsevier
Timely and accurate monitoring of onsite construction operations can bring an immediate
awareness on project specific issues. It provides practitioners with the information they need …

[HTML][HTML] Automated computer vision-based construction progress monitoring: a systematic review

M Sami Ur Rehman, MT Shafiq, F Ullah - Buildings, 2022 - mdpi.com
The progress monitoring (PM) of construction projects is an essential aspect of project
control that enables the stakeholders to make timely decisions to ensure successful project …

Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach

W Fang, L Ding, B Zhong, PED Love, H Luo - Advanced Engineering …, 2018 - Elsevier
Detecting the presence of workers, plant, equipment, and materials (ie objects) on sites to
improve safety and productivity has formed an integral part of computer vision-based …

A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network

W Fang, B Zhong, N Zhao, PE Love, H Luo… - Advanced Engineering …, 2019 - Elsevier
Structural supports (eg, concrete and steel) provide engineering structures with stability by
transferring loads. During the construction of an engineering structure, individuals are often …

End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level

D Roberts, M Golparvar-Fard - Automation in Construction, 2019 - Elsevier
This paper presents a new benchmark dataset for validating vision-based methods that
automatically identifies visually distinctive working activities of excavators and dump trucks …

Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors

M Memarzadeh, M Golparvar-Fard… - Automation in Construction, 2013 - Elsevier
This paper presents a computer vision based algorithm for automated 2D detection of
construction workers and equipment from site video streams. The state-of-the-art research …

Virtual prototy**-and transfer learning-enabled module detection for modular integrated construction

Z Zheng, Z Zhang, W Pan - Automation in Construction, 2020 - Elsevier
Modular integrated construction is one of the most advanced off-site construction
technologies and involves the repetitive process of installing prefabricated prefinished …

Vision-based construction worker activity analysis informed by body posture

D Roberts, W Torres Calderon, S Tang… - Journal of Computing …, 2020 - ascelibrary.org
Activity analysis of construction resources is generally performed by manually observing
construction operations either in person or through recorded videos. It is thus prone to …

Integrated detection and tracking of workforce and equipment from construction jobsite videos

Z Zhu, X Ren, Z Chen - Automation in Construction, 2017 - Elsevier
High definition (HD) video cameras have been used to record daily activities at construction
jobsites into videos. These videos contain rich workforce and equipment information for site …

Fusion of photogrammetry and video analysis for productivity assessment of earthwork processes

M Bügler, A Borrmann, G Ogunmakin… - … ‐Aided Civil and …, 2017 - Wiley Online Library
The high complexity of modern large‐scale construction projects leads their schedules to be
sensitive to delays. At underground construction sites, the earthwork processes are vital, as …