Reality Capture in Construction Project Management: A Review of Opportunities and Challenges

Abstract

Reality Capture (RC) is a state-of-the-art technology for digital data gathering and visualization of the actual environment through virtual means. In recent years, RC has contributed significantly to the digitalization of the construction industry globally. However, there are no systematic critical analyses of the benefits and challenges of RC technologies in construction project management (CPM) to drive its adoption. This research provides a detailed overview of the potential benefits and constraints of RC to tackle CPM concerns successfully and efficiently. This study uses the PRISMA procedure to conduct a systematic literature review. Based on the inclusion and exclusion criteria set for the study, 96 articles were considered relevant for review. The articles were analyzed using content analysis techniques to synthesize identify emerging themes. A four-step procedure was used to classify the articles into pre-construction planning, —designing and construction. The review show that (a) RC is useful during the planning and designing stage, as the success of a construction project depends on accurate data to reduce the risk of cost and time overruns; (b) the benefits of RC adoption are accurate data, reduced time spent on project monitoring, progress tracking, and quality assessment; (c) RC on a construction site aids in the resolution of the industry’s fragmented nature through collaboration; quick and prompt decision making through remote monitoring and control of projects. RC is used as a visualization tool and for digital documentation of as-built models, construction verification, and flaw discovery, thereby improving work processes to achieve project success; (d) the most challenging aspect of incorporating RC on a construction site is the high investment cost. In the digital revolution era, this study could aid in the knowledge and optimal use of Reality Capture in numerous areas of CPM.

Static Terrestrial Laser Scanning (TLS) for Heritage Building Information Modeling (HBIM): A Systematic Review

“…To answer the two research questions of this study, the researcher set up a systematic literature review process (see Figure 3) and elected to use the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) approach. The PRISMA approach was chosen over others because of its acceptance, comprehensiveness, and wide variety of applications in numerous academic disciplines [36].…”

“…The researcher adopted a three-stage methodological approach to conduct the study: planning, searching, and screening (the PRISMA approach), and reporting [9].…”

“…The existing (as-built) condition data of the built heritage, including its geometrical information, structural details, materials, defects, and decay, is acquired through field surveys using Reality Capture (RC) techniques. Next, all captured geometric and descriptive data of the structure is processed and used to develop a highly detailed and accurate as-built 3D digital model [5,[8][9][10]. Finally, data about the structure, such as historical photographs, historical reports, maintenance and renovation records, materials, and decay, are included as an add-on to the 3D model, making it an intelligent building information model [11].…”

“…Virtual Worlds 2023, 2, FOR PEER REVIEW 2 structure, such as historical photographs, historical reports, maintenance and renovation records, materials, and decay, are included as an add-on to the 3D model, making it an intelligent building information model [11]. The creation of HBIM models requires the acquisition of highly accurate RC data, which may be obtained with traditional analog tools (e.g., measuring tapes) and advanced instruments and techniques [9]. Each of the techniques and technologies has its own advan-Virtual Worlds 2023, 2 tages and limitations in the aspects of accessibility, comprehensiveness, level of accuracy, and feasibility.…”

“…Virtual Worlds 2023, 2, FOR PEER REVIEW 3 The creation of HBIM models requires the acquisition of highly accurate RC data, which may be obtained with traditional analog tools (e.g., measuring tapes) and advanced instruments and techniques [9]. Each of the techniques and technologies has its own advantages and limitations in the aspects of accessibility, comprehensiveness, level of accuracy, and feasibility.…”