Digital skin of the construction site: Smart sensor technologies towards the future smart construction site

R Edirisinghe - Engineering, Construction and Architectural …, 2019 - emerald.com
Purpose The future construction site will be pervasive, context aware and embedded with
intelligence. The purpose of this paper is to explore and define the concept of the digital skin …

Applying sensor-based technology to improve construction safety management

M Zhang, T Cao, X Zhao - Sensors, 2017 - mdpi.com
Construction sites are dynamic and complicated systems. The movement and interaction of
people, goods and energy make construction safety management extremely difficult. Due to …

Real-time mixed reality-based visual warning for construction workforce safety

S Wu, L Hou, GK Zhang, H Chen - Automation in Construction, 2022 - Elsevier
Spatial locations of personnel, equipment, and materials are constantly changing as
construction projects progress. The dynamic nature of the construction industry affects …

Construction 4.0

A Sawhney, M Riley, J Irizarry… - Sawhney, A., Riley, M …, 2020 - api.taylorfrancis.com
With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …

On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning

FP Rahimian, S Seyedzadeh, S Oliver… - Automation in …, 2020 - Elsevier
While unavoidable, inspections, progress monitoring, and comparing as-planned with as-
built conditions in construction projects do not readily add tangible intrinsic value to the end …

SODA: A large-scale open site object detection dataset for deep learning in construction

R Duan, H Deng, M Tian, Y Deng, J Lin - Automation in Construction, 2022 - Elsevier
Comprehensive image datasets can benefit the construction industry in terms of serving as
the basis for generating deep-learning-based object detection models and testing the …

Development of an image data set of construction machines for deep learning object detection

B Xiao, SC Kang - Journal of Computing in Civil Engineering, 2021 - ascelibrary.org
Deep learning object detection algorithms have proven their capacity to identify a variety of
objects from images and videos in near real-time speed. The construction industry can …

Image-based construction hazard avoidance system using augmented reality in wearable device

K Kim, H Kim, H Kim - Automation in construction, 2017 - Elsevier
Construction sites are inherently dynamic due to continuous resource changes. As
construction projects become bigger and more complex, this dynamism can lead to more …

Automated computer vision-based detection of components of under-construction indoor partitions

H Hamledari, B McCabe, S Davari - Automation in Construction, 2017 - Elsevier
This paper presents a computer vision-based algorithm that automatically detects the
components of an interior partition and infers its current state using 2D digital images. The …

Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers

M Golparvar-Fard, A Heydarian, JC Niebles - Advanced Engineering …, 2013 - Elsevier
Video recordings of earthmoving construction operations provide understandable data that
can be used for benchmarking and analyzing their performance. These recordings further …