2020
DOI: 10.3390/ijgi9010053
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Evaluation of Augmented Reality-Based Building Diagnostics Using Third Person Perspective

Abstract: Comprehensive user evaluations of outdoor augmented reality (AR) applications in the architecture, engineering, construction and facilities management (AEC/FM) industry are rarely reported in the literature. This paper presents an AR prototype system for infrared thermographic façade inspection and its evaluation. The system employs markerless tracking based on image registration using natural features and a third person perspective (TPP) augmented view displayed on a hand-held smart device. We focus on evalua… Show more

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Cited by 11 publications
(6 citation statements)
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“…In some areas, such as the development of smart cities, urban decision-making, and public participation, AR technologies may improve engagement between citizens and authorities (Sanaeipoor and Emami, 2020). A case study conducted outdoors involving an AR system for thermal target detection in a façade inspection task has been presented and evaluated by Liu et al (2020). A mobile visualization application was developed by Santana et al (2017) to display the results of different simulations and models of energy related simulations at building level using VR and AR environments.…”
Section: Related Workmentioning
confidence: 99%
“…In some areas, such as the development of smart cities, urban decision-making, and public participation, AR technologies may improve engagement between citizens and authorities (Sanaeipoor and Emami, 2020). A case study conducted outdoors involving an AR system for thermal target detection in a façade inspection task has been presented and evaluated by Liu et al (2020). A mobile visualization application was developed by Santana et al (2017) to display the results of different simulations and models of energy related simulations at building level using VR and AR environments.…”
Section: Related Workmentioning
confidence: 99%
“…Concurrently, AR has also been used in an educational context (Wang et al 2017;Turan et al 2018;Al Shuaili et al 2020;George et al 2020;Adedokun-Shittu et al 2020); however, the ability of AR/MR interfaces to connect data and real-world spaces has resulted in several situated, mobile applications. These include: landscape orientation (Carbonell Carrera and Bermejo Asensio 2016), flood risk analyses Hedley 2020, 2021) and precipitation simulation (Lonergan and Hedley 2014), building damage and safety assessment (Imottesjo and Kain 2018;Liu et al 2020), emergency egress analyses (Lochhead and Hedley 2018), teaching cultural heritage (Panou et al 2018;Han et al 2019;Romano and Hedley 2021), and GISenabled smart city applications (Yagol et al 2018). Despite the proliferation of geospatial XR research, there is a lack of theoretical work focused on how and why geospatial XR content is designed a certain way.…”
Section: Xr In Vamentioning
confidence: 99%
“…There are many methods for solving the SLAM problem, including probabilistic methods such as the Kalman filter [98] and the extended Kalman filter [84], and geometric approaches such as bundle adjustment [94]. Bundle adjustment is the problem of estimating jointly optimal 3D structure and camera pose parameters through refining a visual reconstruction.…”
Section: No-model-based Trackingmentioning
confidence: 99%