Emerging Dimensions of Unmanned Aerial Vehicle’s 3D Reconstruction Modeling and Photogrammetry in Architecture and Construction Management

engineering, and construction management. UAV is employed in diverse dimensions to obtain essential information from the construction sites, a feasible analysis in condition assessment, and progress monitoring and visualization. The current research has aimed to investigate the dimensions UAV’ 3D modeling by applying the literature content analysis method. The research found that UAV technology has been merged into seven dimensions; included, 3D Modeling, Safety, Surveying, Monitoring, Transportation, Contour crafting, Inspection. Amongst, 3D modeling is the primary dimension and dramatically growing in architecture and civil engineering. The research found that UAV’ 3D modeling has merged into nine (9) dimensions; D1. Quality management, D2. Risk Management, D3. Site monitoring, D4. Project performance and progress control, D5. Facilities Management, D6. Building Measurement, D7. On-Site Information Analysis, D8. Team Collaboration and communication, and D9. Workers Training. The research found that building measurement and quality management are the most rapidly growing dimensions. Also, the research has indicated thirty-six (36) sub-dimensions, where using inspection tools, using web-based VR, image-based 3D reconstruction and meshing, and using AR have been mostly grown in the UAV’s 3D modeling. Accordingly, several 3D reconstruction software has been developed. Information Analysis, Team Collaboration and communication, and D9. Workers Training. The content analysis determined that building measurement and quality management were the most expanded dimensions of UAV’s 3D reconstruction modeling in architecture and civil engineering. On the contrary, the facilities management and workers training are the dimensions that remain oversight and need major improvement and knowledge growth. In addition, the research found that building measurement and quality management are the most rapidly growing dimensions. These dimensions involve thirty-six (36) sub-dimensions. According to the content analysis results, using inspection tools, using web-based VR, image-based 3D reconstruction and meshing, and using AR are the most developed sub-dimensions. However, the following sub-dimensions have substantial room for growth, using a WLAN-based AR system, using integrated AR and BIM, using BIM2MAR, using game engine technologies, Geo-referencing, and using GPS data, Image segmentation and Orthophoto mapping, Using the wearable device and Using HD4AR system. Furthermore, the research has reviewed the top-tier 3D reconstruction modeling software (included COLMAP, AgiSoft Photoscan, 3DF+Zephyr, Autodesk Recap, DroneDeploy, Photomodeler, VisualSfM, and Pix4D), and synthesized them based on features of photogrammetry reconstruction generation, capabilities in reconstructing site elements, and the required computational system specification. As each software has specific series of features and specifications, the users need to make a proper software selection before starting their project. Therefore, the research has imposed a set of software selection scenarios that significantly aid architects and contrition managers on the most appropriate software selection that fits their project plan,