A review of augmented reality applied to underground construction

被引:0
作者
Fenais A.S. [1 ]
Ariaratnam S.T. [1 ]
Ayer S.K. [1 ]
Smilovsky N. [2 ]
机构
[1] Civil Environmental and Sustainable Engineering, School of Sustainable Engineering and the Built Environment, Arizona State University
[2] School of Geographical Sciences and Urban Planning, Arizona State University
来源
Journal of Information Technology in Construction | 2020年 / 25卷
关键词
Augmented reality; Underground construction; Utilities;
D O I
10.36680/J.ITCON.2020.018
中图分类号
学科分类号
摘要
Unintentional striking of underground utilities from construction activities often results in high economic consequences. Advanced technology and sophisticated visualization techniques such as augmented reality (AR) has the potential to play a significant role in mitigating such devastating consequences. To better understand the state-of-the-art technology of AR applications in the underground construction industry, it is important to identify challenges and barriers. This paper provides a systematic literature review of applications in the construction industry in general in which journal articles were reviewed, analysed, and summarized. Through this method, the main challenges associated with AR were revealed and feasible solutions were suggested. Issues were found with 1) data collection; 2) modelling and alignment barriers; 3) hardware limitations; 4) tracking; and 5) managing data. This research examined an efficient solution to the problems of AR by proposing a framework for future implementation with main applications in the United States, Canada, and Australia. COPYRIGHT: © 2020 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
引用
收藏
页码:308 / 324
页数:16
相关论文
共 64 条
  • [1] ASCE's 2017 infrastructure report card, (2017)
  • [2] Azar E.R., Construction equipment identification using marker-based recognition and an active zoom camera, Journal of Computing in Civil Engineering, 30, 3, (2015)
  • [3] Azuma R., Baillot Y., Behringer R., Feiner S., Julier S., MacIntyre B., Recent advances in augmented reality, IEEE computer graphics and applications, 21, 6, pp. 34-47, (2001)
  • [4] Bae H., Golparvar-Fard M., White J., High-precision vision-based mobile augmented reality system for context-aware architectural, engineering, construction and facility management (AEC/FM) applications, Visualization in Engineering, 1, 1, (2013)
  • [5] Balali V., Golparvar-Fard M., Evaluation of multiclass traffic sign detection and classification methods for US roadway asset inventory management, Journal of Computing in Civil Engineering, 30, 2, (2015)
  • [6] Behzadan A.H., Kamat V.R., Georeferenced registration of construction graphics in mobile outdoor augmented reality, Journal of Computing in Civil Engineering, 21, 4, pp. 247-258, (2007)
  • [7] Behzadan A.H., Aziz Z., Anumba C.J., Kamat V.R., Ubiquitous location tracking for context-specific information delivery on construction sites, Automation in construction, 17, 6, pp. 737-748, (2008)
  • [8] Behzadan A.H., Dong S., Kamat V.R., Augmented reality visualization: A review of civil infrastructure system applications, Advanced Engineering Informatics, 29, 2, pp. 252-267, (2015)
  • [9] Bilal M., Oyedele L.O., Qadir J., Munir K., Ajayi S.O., Akinade O.O., Owolabi H.A., Alaka H.A., Pasha M., Big Data in the construction industry: A review of present status, opportunities, and future trends, Advanced engineering informatics, 30, 3, pp. 500-521, (2016)
  • [10] Billinghurst M., Bowskill J., Dyer N., Morphett J., Spatial information displays on a wearable computer, IEEE Computer Graphics and Applications, 18, 6, pp. 24-31, (1998)