A review of unmanned aerial vehicle applications in construction management: 2016–2021

AA Molina, Y Huang, Y Jiang - Standards, 2023 - mdpi.com
With the rapid advancement of Unmanned Aerial Vehicle (UAV) technologies in recent
years, their uses have been increasingly adopted in the architecture, engineering, and …

AI-based risk assessment for construction site disaster preparedness through deep learning-based digital twinning

M Kamari, Y Ham - Automation in Construction, 2022 - Elsevier
Hurricanes are among the most devastating natural disasters in the United States, causing
billions of dollars of property damage and insured losses. During extreme wind events …

An automatic system to monitor the physical distance and face mask wearing of construction workers in COVID-19 pandemic

M Razavi, H Alikhani, V Janfaza, B Sadeghi… - SN computer …, 2022 - Springer
The COVID-19 pandemic has caused many shutdowns in different industries around the
world. Sectors such as infrastructure construction and maintenance projects have not been …

Vision-based volumetric measurements via deep learning-based point cloud segmentation for material management in jobsites

M Kamari, Y Ham - Automation in Construction, 2021 - Elsevier
Emerging vision-based frameworks have demonstrated the great potential to robustly
perform volumetric measurements on point cloud models, which has several applications for …

Large-scale visual data–driven probabilistic risk assessment of utility poles regarding the vulnerability of power distribution infrastructure systems

J Kim, M Kamari, S Lee, Y Ham - Journal of construction …, 2021 - ascelibrary.org
Inspecting and assessing existing utility poles has become increasingly important for
reducing the vulnerability of power distribution infrastructure systems in disaster situations …

Analyzing safety risk imposed by jobsite debris to nearby built environments using geometric digital twins and vision-based deep learning

M Kamari, J Kim, Y Ham - Journal of Computing in Civil Engineering, 2022 - ascelibrary.org
Extreme wind events can pick up loose and small objects on the ground, and once the
objects become airborne, they negatively impact surrounding communities due to the …

An integrated aerial and ground vehicle (UAV-UGV) system for automated data collection for indoor construction sites

K Asadi, K Han - Construction Research Congress 2020, 2020 - ascelibrary.org
Over the past few years, there have been many efforts to increase the degree of automation
and frequency of data collection for construction applications using unmanned aerial/ground …

Real-time participatory sensing-driven computational framework toward digital twin city modeling

J Kim, Y Ham - Construction Research Congress 2022, 2022 - ascelibrary.org
ABSTRACT A concept of “digital twin” as a model to bridge between a real-world and a
virtual twin has emerged in manufacturing and product management. In the context of civil …

Analyzing potential risk of wind-induced damage in construction sites and neighboring communities using large-scale visual data from drones

M Kamari, Y Ham - Construction Research Congress 2020, 2020 - ascelibrary.org
Dynamic and complex construction sites including incomplete structures and unsecured
resources are among the most vulnerable environments to windstorms such as hurricanes …

Semantic detection of potential wind-borne debris in construction jobsites: Digital twining for hurricane preparedness and jobsite safety

M Kamari, Y Ham - Computing in Civil Engineering 2021, 2021 - ascelibrary.org
ABSTRACT In the United States, hurricanes are the most devastating natural disasters
causing billions of dollars worth of damage every year. More importantly, construction …