Identification of application areas for Augmented Reality in industrial construction based on technology suitability

Shin, Do Hyoung; Dunston, Phillip S.

doi:10.1016/j.autcon.2008.02.012

Cited by 131 publications

(60 citation statements)

References 13 publications

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“…Focusing on the specific case of AR, and the introduction of this technology in different areas of the architectural education framework, is easy find examples in design, excavation, staking, inspection, coordination, urbanism, landscape design, rehabilitation, tourism and supervision of tasks (Hawkinson, 2013;Shin & Dunston, 2008;Sánchez & Borro, 2007;Tonn et al, 2008). New platforms and paradigms emerged to propel AR development in smartphones, such as Junaio, Layar and…”

Section: Hybrid Visualization Methods: From Vr To Armentioning

confidence: 99%

Informal interactions in 3D education: Citizenship participation and assessment of virtual urban proposals

Fonseca

Valls

Redondo

et al. 2016

Computers in Human Behavior

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The main focus of this study was the inclusion of informal methods in the educational frameworks of architectural and urban design. The project used is based on the 3D representation of virtual models of new urban proposals in order to re-organize a local market in Tonalá, Mexico. Starting from a formal course, where the students had to develop solutions to real architecture and urban problems, a second phase was designed, based on feedback in an informal environment by the end-users (citizens and professionals). The key objectives of the experiment were to show students to connect and receive feedback through technology, evaluate how these interactions can define new informal ways of learning, and discuss how this informal data can be incorporated into an academic curriculum. The results confirm how the informal interaction constitutes a great contribution in the improvement of student's skills, even considering that the incorporation of informal data into their evaluation still remains challenging.

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Section: Hybrid Visualization Methods: From Vr To Armentioning

confidence: 99%

Informal interactions in 3D education: Citizenship participation and assessment of virtual urban proposals

Fonseca

Valls

Redondo

et al. 2016

Computers in Human Behavior

View full text Add to dashboard Cite

show abstract

“…It should be noted that the appropriate application areas for different types of AR will continue to evolve. AR has been used for instance in municipal infrastructure (Aschwanden et al 2012), residential and commercial (Sampaio et al 2012), highway (Golparvar-Fard et al 2015), and industrial projects (Shin and Dunston 2008). One of many specific applications of AR is the comparison of different project statuses.…”

Section: Augmented Realitymentioning

confidence: 99%

Automated Data Collection for Progress Tracking Purposes: A Review of Related Techniques

Touzani

Nehdi

2017

Facing the Challenges in Structural Engineering

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Abstract. The automated data collection of civil infrastructure projects, whether under construction, newly put into service, or in operation has been receiving increased attention by researchers and practitioners. Such real-time progress tracking is essential for the active monitoring of production during the construction phase of a project and for the built assets during their service lives. Automatic progress tracking can result in timely detection of potential time delays and construction discrepancies and directly supports project control decision-making. This paper outlines recent research efforts in this field and technological developments that aim to facilitate project management toward achieving project objectives. 3D imaging, geo-spatial, enhanced IT, and augmented reality technologies have recently achieved significant advances in this field. These technologies are discussed and compared herein in terms of their strengths and limitations to identify various trends concerning their applicability in data acquisition for construction projects and to formulate recommendations for their suitability in different projects. Prospects for improvement and challenges that can be expected in future research and development are considered. It is hoped that this discussion will assist construction stakeholders in choosing appropriate data collection tools, and motivate further research and development to assist in delivering projects on time and within budget.

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“…To exploit these benefits, many research projects have focused on providing cyber-information to field personnel through mobile devices and/or augmented reality systems (e.g., Akula et al 2011;Anumba and Aziz 2006;Behzadan et al 2008;Shin and Dunston 2008;Hakkarainen et al 2008;Khoury and Kamat 2009;Irizarry et al 2012;Pasman and Woodward 2003). These works have primarily focused on using Global Positioning Systems (GPS), Wireless Local Area Networks (WLAN), or Indoor GPS for accurately positioning the user within congested construction environments.…”

Section: Related Workmentioning

confidence: 99%

High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications

2013

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Background: Many context-aware techniques have been proposed to deliver cyber-information, such as project specifications or drawings, to on-site users by intelligently interpreting their environment. However, these techniques primarily rely on RF-based location tracking technologies (e.g., GPS or WLAN), which typically do not provide sufficient precision in congested construction sites or require additional hardware and custom mobile devices. Method: This paper presents a new vision-based mobile augmented reality system that allows field personnel to query and access 3D cyber-information on-site by using photographs taken from standard mobile devices. The system does not require any location tracking modules, external hardware attachments, and/or optical fiducial markers for localizing a user's position. Rather, the user's location and orientation are purely derived by comparing images from the user's mobile device to a 3D point cloud model generated from a set of pre-collected site photographs. Results:The experimental results show that 1) the underlying 3D reconstruction module of the system generates complete 3D point cloud models of target scene, and is up to 35 times faster than other state-of-the-art Structure-from-Motion (SfM) algorithms, 2) the localization time takes at most few seconds in actual construction site. Conclusion:The localization speed and empirical accuracy of the system provides the ability to use the system on real-world construction sites. Using an actual construction case study, the perceived benefits and limitations of the proposed method for on-site context-aware applications are discussed in detail.

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Identification of application areas for Augmented Reality in industrial construction based on technology suitability

Cited by 131 publications

References 13 publications

Informal interactions in 3D education: Citizenship participation and assessment of virtual urban proposals

Informal interactions in 3D education: Citizenship participation and assessment of virtual urban proposals

Automated Data Collection for Progress Tracking Purposes: A Review of Related Techniques

High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications

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