Remote proximity monitoring between mobile construction resources using camera-mounted UAVs

D Kim, M Liu, SH Lee, VR Kamat - Automation in Construction, 2019 - Elsevier
Struck-by accidents have resulted in a significant number of fatal and nonfatal injuries in the
construction industry. As a proactive safety measure against struck-by hazards, the authors …

Using context-guided data augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions

H Chen, L Hou, GK Zhang, S Wu - Safety science, 2023 - Elsevier
Automated recognition of image patterns in surveillance cameras is beneficial for safety
monitoring. A representative application is visual proximity detection for accident prevention …

Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning

MZ Shanti, CS Cho, BG de Soto, YJ Byon… - Journal of safety …, 2022 - Elsevier
Introduction: The construction field is considered one of the most dangerous industries.
Accidents and fatalities take place on a daily basis in construction projects. Globally …

Real-time smart video surveillance to manage safety: A case study of a transport mega-project

H Luo, J Liu, W Fang, PED Love, Q Yu, Z Lu - Advanced Engineering …, 2020 - Elsevier
There is a tendency for accidents and even fatalities to arise when people enter hazardous
work areas during the construction of projects in urban areas. A limited amount of research …

Proximity prediction of mobile objects to prevent contact-driven accidents in co-robotic construction

D Kim, SH Lee, VR Kamat - Journal of Computing in Civil …, 2020 - ascelibrary.org
Robotic solutions have garnered increased attention from the construction industry as an
effective means of improving construction safety and productivity. However, in deploying …

[HTML][HTML] Construction site hazards identification using deep learning and computer vision

MM Alateeq, FR PP, MAS Ali - Sustainability, 2023 - mdpi.com
Workers on construction sites face numerous health and safety risks. Authorities have made
numerous attempts to enhance safety management; yet incidents continue to occur …

Computer vision‐based recognition of 3D relationship between construction entities for monitoring struck‐by accidents

X Yan, H Zhang, H Li - Computer‐Aided Civil and Infrastructure …, 2020 - Wiley Online Library
Struck‐by accidents often cause serious injuries in construction. Monitoring of the struck‐by
hazards in terms of spatial relationship between a worker and a heavy vehicle is crucial to …

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring

A Waqas, D Kang, YJ Cha - Structural Health Monitoring, 2024 - journals.sagepub.com
This paper proposes a framework for obstacle-avoiding autonomous unmanned aerial
vehicle (UAV) systems with a new obstacle avoidance method (OAM) and localization …

Towards UAVs in construction: advancements, challenges, and future directions for monitoring and inspection

H Liang, SC Lee, W Bae, J Kim, S Seo - Drones, 2023 - mdpi.com
The use of UAVs for monitoring and inspection in the construction industry has garnered
considerable attention in recent years due to their potential to enhance safety, efficiency …

Human intrusion detection in static hazardous areas at construction sites: Deep learning–based method

X Mei, X Zhou, F Xu, Z Zhang - Journal of Construction Engineering …, 2023 - ascelibrary.org
Construction sites have complex environments and high accident rates. Human intrusion
into static hazardous areas is a significant cause of accidents. Traditional engineering safety …