M Golparvar-Fard, A Ciribini, Francesca Fascioli, E Piccinni
Challenges and Benefits of D4AR – 4 Dimensional Augmented Reality - Modeling on the Milano Bicocca Housing Project
Abstract: In this paper, the challenges and benefits of creating D4AR – 4 dimensional augmented reality– models and their applicability and usefulness for automated and visual monitoring of construction progress, safety and quality issues on typical housing projects are presented. D4AR models are generated by superimposing two emerging sources of information: (1) Building Information Models (BIM), and (2) daily construction photographs and videos. Using these two emerging and already available sources of information, the D4AR models extend the application of BIM which is primarily used for design coordination, system clash prevention and constructability analysis, to the construction phase of a project. These models automatically measure physical progress and visualize performance deviations by superimposing color-coded BIM elements over unordered and uncalibrated daily site imagery in a common 3D environment. In this study, the applicability and usefulness of these models and the prototype software developed by Golparvar-Fard et al. (2010) is tested and validated on the Bicocca housing project in Milan, Italy. The granularity of the underlying BIM and the Work Breakdown Structure (WBS) for an accurate construction monitoring and control is studied. Furthermore, it is examined how the D4AR models can help practitioners to remotely and easily find schedule deviations, safety issues and quality inconsistencies, resolve such issues in a timely manner, inform stakeholders of the most updated status of a project on a regular basis, and engage project participants early in the revision process to minimize the negative impacts of schedule delay and cost overrun. The challenges and benefits of generating and using the D4AR models, the requirements for the granularity of the BIM and WBS for planning and scheduling are presented and their applicability and usefulness based on the research conducted on the Milano Bicocca housing project are further discussed.
Keywords: D4AR Models, Augmented Reality, Photogrammetry, Building Information Models
Full text: content.pdf (623,591 bytes) (available to registered users only)