Development of an Augmented Reality environment for the assembly of a precast wood-frame wall using the BIM model

Cuperschmid, Ana Regina Mizrahy; Grachet, Marina Graf; Fabrício, Márcio Minto

doi:10.1590/s1678-86212016000400105

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…Projection based AR assisted systems have also been widely used by assembly workers in factories (Funk et al, 2017;Hou et al, 2013;Cuperschmid et al, 2016). These studies measured reduction in task completion time by 50% and fewer implementation errors.…”

Section: Projection Based Ar Methodsmentioning

confidence: 99%

Automated optimum visualization system for construction drawing reading

Swanborough¹,

Kim²,

Agapaki³

et al. 2021

ITcon

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The task of reading drawings on construction sites has significant efficiency and cost problems. Recent products utilising laser projectors attempt to address the issue of drawing comprehension by projecting full scale versions of the drawings onto 3D surfaces, giving an in-place representation of the steps required to complete a task. However, they only allow projection in red or green at a single brightness level due to the inherent constraints of using a laser-based system, which could cause problems depending on the surface to be projected on and the ambient conditions. Thus, there is a need for a solution that is able to adjust the visualisation parameters of the displayed information based on the surface being projected onto. This study presents a system that automatically changes the visualisation parameters based on the colour and texture of the current surface to make drawings visible under any planar-like surfaces. The proposed system consists of software and hardware, and the software algorithm contains of two parts 1) the optimisation run that computes and updates the visualisation parameters and 2) the detection loop which runs continually and checks if the optimisation run needs to be triggered or not. In order to verify the proposed system, tests on 8 subjects with 4 background surfaces commonly found on site were performed. The test subjects were timed to find 10 bolt holes projected onto the surface using the optimisation system, which was then compared to a control case of black lines projected onto a white background. The system allowed users to complete the task on the real-world backgrounds in the same time as the control case, with the system resulting in up to a 600% decrease in recognition time on some backgrounds.

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Section: Projection Based Ar Methodsmentioning

confidence: 99%

Automated optimum visualization system for construction drawing reading

Swanborough¹,

Kim²,

Agapaki³

et al. 2021

ITcon

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“…Since some of the early work investigating the use of AR to support sequential tasks [27] the scope for AR to support construction operations has been well researched. The use for assisting with the understanding of assembly of components has received more recent attention such as [28], [29], [30]. The reporting of some of these studies has shown significant improvements to operations on the construction site, highlighting a 50% reduction in the time to complete the tasks, with fewer errors during construction.…”

Section: Ar In the Construction Phasementioning

confidence: 99%

A multi-user collaborative BIM-AR system to support design and construction

Garbett

Hartley

Heesom

2021

Automation in Construction

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Augmented Reality (AR) is fast becoming an established tool for the construction industry.Previous research reports on the conversion of BIM geometric models and the implementation of these with marker-based AR, or the use of more wide area AR taking positional input from GPS. Much of this focused on the use of AR in an individual context, so there is need to align AR with the more collaborative nature of BIM. By implementing marker-based AR, and connecting to a cloud-based database, the presented BIM-AR system provides the ability to view, interact and collaborate with 3D and 2D BIM data via AR with geographically dispersed teams. An Agile Scrum Method was used to develop the prototype system including a mobile AR application and a Large Touch Screen application based on and a Model, View, Controller (MVC) approach. Finally, the system was tested and verified using a focus group of construction practitioners.

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“…BIMenabled AR has also been employed in maintenance and operation management, as seen in Baek et al (2019) and K. Chen et al (2019). Furthermore, recent studies have investigated the implementation of AR and BIM in the domains of architecture and construction education (Cuperschmid et al, 2016;Messadi et al, 2019;Vasilevski & Birt, 2020).…”

Section: Ar and Bimmentioning

confidence: 99%