Construction sites are dynamic and complicated systems. The movement and interaction of people, goods and energy make construction safety management extremely difficult. Due to …
Spatial locations of personnel, equipment, and materials are constantly changing as construction projects progress. The dynamic nature of the construction industry affects …
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 …
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 …
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 …
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 …
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 …
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 …
Video recordings of earthmoving construction operations provide understandable data that can be used for benchmarking and analyzing their performance. These recordings further …