Work

Visual Evaluation of Construction Schedule Progress by Linking Photographs and 4D Model

Year: 2026

Type: article

Abstract: During the construction period, numerous site photographs are routinely captured; however, their use is largely limited to simple visual inspection of construction status. To enhance the practical utilization of such photographic information, this study proposes a 4D-based construction progress management system that visually evaluates schedule progress by integrating site photographs within a BIM-based information management framework. The proposed system synchronizes site photographs with corresponding 4D model images using coordinate linkage and applies deep learning–based object detection to identify matching construction elements. Construction progress is approximately estimated by analyzing bounding box overlap between detected elements in site photographs and planned elements in 4D model images. A case study conducted on a bridge construction project demonstrated that the trained model achieved an overall [email protected] of 0.532, and that the proposed method enables intuitive and approximate progress evaluation. The results indicate that the proposed system can improve the usability of site photographs as supporting information for 4D-based construction progress management.

Source: Buildings

DOI: 10.3390/buildings16040733

Authors: Sang-Mi Park, JaeHee Lee, Leen-Seok Kang

Institutions: Korea Institute of Civil Engineering and Building Technology, Gyeongsang National University

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $3,137