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Content Analysis of Three-Dimensional Model Technologies and Applications for Construction: Current Trends and Future Directions.
Le, Nhien; Tran, Daniel; Sturgill, Roy.
Affiliation
  • Le N; Department of Civil, Environmental, and Architectural Engineering, University of Kansas, Lawrence, KS 66045, USA.
  • Tran D; Department of Civil, Environmental, and Architectural Engineering, University of Kansas, Lawrence, KS 66045, USA.
  • Sturgill R; Civil, Construction and Environmental Engineering Department, Iowa State University, Ames, IA 50011, USA.
Sensors (Basel) ; 24(12)2024 Jun 13.
Article in En | MEDLINE | ID: mdl-38931620
ABSTRACT
The proliferation of digital technologies is substantially transforming inspection methodologies for construction activities. Although the implementation of a three-dimensional (3D) model has emerged as an advantageous, feasible inspection application, the selection of the most suitable 3D models is challenging due to multiple technology options. The primary objectives of this study were to investigate current trends and identify future technologies for 3D models in the construction industry. This study utilized systematic reviews by identifying and selecting quality journals, analyzing selected articles, and conducting content analysis and meta-analysis to identify dominant themes in 3D models. Results showed that the top technologies used to model construction projects are building information models, remote sensing, stereo vision system/photo processing programs, and augmented reality/virtual reality. The main benefits and challenges of these technologies for modeling were also determined. This study identified three areas with significant knowledge gaps for future research (1) the amalgamation of two or more technologies to overcome project obstacles; (2) solution optimization for inspections in remote areas; and (3) the development of algorithm-based technologies. This research contributes to the body of knowledge by exploring current trends and future directions of 3D model technologies in the construction industry.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2024 Document type: Article Affiliation country: United States