A critical review of virtual and augmented reality (VR/AR) applications in construction safety

Towards a semantic Construction Digital Twin: directions for future research

Accurate and efficient tracking, analysis and visualization of as-built (actual) status of buildings under construction are critical components of a successful project monitoring. Such information directly supports control decision-making and if automated, can significantly impact management of a project. This paper presents a new automated approach for recognition of physical progress based on two emerging sources of information: (1) unordered daily construction photo collections, which are currently collected at almost no cost on all construction sites; and (2) building information models (BIMs), which are increasingly turning into binding components of architecture/engineering/construction contracts. First, given a set of unordered and uncalibrated site photographs, an approach based on structure-from-motion, multiview stereo, and voxel coloring and labeling algorithms is presented that calibrates cameras, photorealistically reconstructs a dense as-built point cloud model in four dimensions (th...

Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models

Augmented Reality in built environment: Classification and implications for future research

Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors

The significant advancement in digital imaging and widespread popularity of digital cameras for capturing a comprehensive visual record of construction performance in the architecture, engineering, construction, and facility management (AEC/FM) industries have triggered an extensive growth in the rate of site photography, allowing hundreds of images to be stored for a project on a daily basis. Meanwhile, collaborative AEC technologies centering around building information models (BIMs) are becoming widely applied to support various architectural, structural, and preconstruction decision-making tasks. These models, if integrated with the as-built perspective of a construction, have great potential to extensively add value during the construction phase of a project. This paper reports recent developments from research efforts in (1) automated acquisition of as-built point-cloud models from unordered daily site photo collections and geo-registration of site images, (2) automated generation of four-dimensiona...

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0000371

Integrated Sequential As-Built and As-Planned Representation with D4AR Tools in Support of Decision-Making Tasks in the AEC/FM Industry

Visualization of construction progress helps construction project managers to study spatial aspects of as-built and as-planned performances, identify progress discrepancies, better utilize resources and equipments in different locations and make timely corrective decisions. This needs as-built performance model to be generated and superimposed over as-planned allowing progress discrepancies to be visualized. In this paper we discuss methodology of generating, analyzing and visualizing progress with D 4 AR (4 Dimensional Augmented Reality) models using daily construction photographs and 4D as-planned model. We use three construction cases to illustrate how the as-built progress models could be sparsely reconstructed using daily site photographs and how the reconstructed model is superimposed over the as-planned model. We also demonstrate how the D 4 AR model is applied in these ongoing construction projects. As a result of this research, automatic and more frequent visual progress data collection, analysis and reporting will become possible.

Mani Golparvar-Fard

Papers

Integrated Sequential As-Built and As-Planned Representation with D4AR Tools in Support of Decision-Making Tasks in the AEC/FM Industry

Interactive Visual Construction Progress Monitoring with D 4 AR — 4D Augmented Reality — Models