A SYSTEMATIC REVIEW OF AUTOMATED CONSTRUCTION PROGRESS MONITORING (ACPM): APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS
Oral Presentation
Paper ID : 1170-ICASGE (R1)
Authors
Tanta University
Abstract
Monitoring construction progress is crucial for effective project control and timely stakeholder decisions; however, current practices remain largely manual and document-centric. Integrating advanced technology into construction practices enables automated construction progress monitoring (ACPM) through real-time data collection, analysis, and visualization for timely and effective decision-making. This paper aims to systematically review ACPM by exploring its applications, challenges, and potential future directions. The review identifies key ACPM tools and techniques including photogrammetry, Laser Scanning (LS), Unmanned aerial vehicles (UAVs), Ultra-wide band (UWB), Augmented Reality (AR), Virtual Reality (VR), Computer Vision (CV), Deep Learning, and Building Information Modeling (BIM). The ACPM process comprises five sub-processes: data acquisition, 3D reconstruction, model generation, progress estimation, and output visualization. This review highlighted the most efficient techniques involved in the ACPM and emphasized the need for the inter-connectivity between sub-processes for an effective alternative to traditional practices. It further examines the challenges associated with implementing ACPM, such as limited generalization, issues with data quality and validity, difficulties in data integration, and real-time considerations. This paper's primary contribution is its in-depth exploration of ACPM, providing valuable insights for both academic researchers and industry professionals.
Keywords