Use of gaming technology to bring bridge inspection to the office

References

• Adhikari, R., Moselhi, O., & Bagchi, A. (2014). Image-based retrieval of concrete crack properties for bridge inspection. Automation in Construction, 39, 180–194. doi: 10.1016/j.autcon.2013.06.011
   Web of Science ®Google Scholar
• Agdas, D., Rice, J. A., Martinez, J. R., & Lasa, I. R. (2015). Comparison of visual inspection and structural-health monitoring as bridge condition assessment method. American Society of Civil Engineers, 26(4), 371–376.
   Google Scholar
• Bolourian, N., Soltania, M. M., Albahria, A. H., & Hammad, A. (2017). High level framework for bridge inspection using LiDAR-equipped UAV.In The 34th International Symposium on Automation and Robotics in Construction (ISARC), Taipei, Taiwan, June 28th to July 1st, 2017.
   Google Scholar
• Branco, F. A., & Brito, J. (2004). Handbook of concrete bridge management. ASCE Press, Reston,Virginia, USA.
   Google Scholar
• Brown, M. (2017). Virtual reality engineering in business applications, wondershare. Retrieved from https://filmora.wondershare.com/virtual-reality/virtual-reality-use-in-engineering.html
   Google Scholar
• Bryson, S. (1993). Virtual reality in scientific visualization. Computers & Graphics, 17(6), 679–685. doi: 10.1016/0097-8493(93)90117-R
   Web of Science ®Google Scholar
• Byrne, M. O., Pakrashi, V., Schoefs, F., & Ghosh, B. (2014, July). A comparison of image-based 3D recovery methods for underwater inspections. In 7th European Workshop on Structural Health Monitoring, La Cité, Nantes, France.
   Google Scholar
• Chanda, S., Bu, G., Guan, H., Jo, J., Pal, U., Loo, Y. C., & Blumenstein, M. (2014). Automatic Bridge Crack Detection — A Texture Analysis-Based Approach, 6th IAPR TC 3 International Workshop on Artificial Neural Networks in Pattern Recognition, New York, USA, October 6-8, 2014.
   Google Scholar
• Collins English Dictionary (2018). Telepresence definition and meaning, Retrieved from https://www.collinsdictionary.com/dictionary/english/telepresence
   Google Scholar
• Comunale, A. (2017). Building the future: Virtual reality in the construction industry. Retrieved from https://www.vrfocus.com/2017/10/virtual-reality-in-the-construction-industry/
   Google Scholar
• Ebrahim, M. A. B. (2014). 3D laser scanner: History, applications and future (PhD thesis). Retrieved from https://www.researchgate.net/publication/267037683
   Google Scholar
• Ellis, S. (1991). Nature and origin of virtual environments: A bibliographic essay. Computing Systems in Engineering, 2(4), 321–347.
   Google Scholar
• Eon, R. (2018). Virtual disaster preparedness. Retrieved from https://www.eonreality.com/portfolio-items/virtual-disaster-preparedness/
   Google Scholar
• Federal Highway Administration (2004). National bridge inspection standards, US Department of Transportation, Washington DC, 23(650).
   Google Scholar
• Feloni, R. (2017). Walmart is using virtual reality to train its employees. Retrieved from http://uk.businessinsider.com/walmart-using-virtual-reality-employee-training-2017-6
   Google Scholar
• Flaig, K. D., & Lark, R. J. (2000). The development of UK bridge management systems. In Proceedings of Institution of Civil Engineers Transportation, ICE Proceedings, London, UK. 144(2), 99–106.
   Google Scholar
• Gisresources (2016). LIDAR technology for monitoring bridge structure defect and health, Retrieved from http://www.gisresources.com/LIDAR-technology-monitoring-bridge-structure-defect-health/
   Google Scholar
• Goldman, N. (2018). Nonny De La Pena: Pioneering VR and immersive journalism, VFXV Society. Retrieved from http://vfxvoice.com/nonny-de-la-pena-pioneering-vr-and-immersive-journalism/
   Google Scholar
• Hampel, U., & Maas, H. (2009). Cascaded image analysis for dynamic crack detection in material testing. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4), 345–350. doi: 10.1016/j.isprsjprs.2008.12.006
   Web of Science ®Google Scholar
• Harrison, R., Sletner, S., Preble, S., Harrison, A., & Anderson, T. (2015). Introduction: A 21st century approach to site design. Retrieved from http://www.rhsdplanning.com/LandDevelopmentBeyond2015.pdf
   Google Scholar
• Hays, R.T., Jacobs, J.W., Prince, C., & Salas, E. (1992). Requirements for future research in flight simulation training: Guidance based on a meta-analytic review. International Journal of Aviation Psychology, 2(2), 143–158. doi: 10.1207/s15327108ijap0202_5
   Google Scholar
• Holcombe, M. (2017). More than 55,000 bridges in the US need repair, CNN. Retrieved from https://edition.cnn.com/2017/02/15/us/structural-deficient-bridges-trnd/index.html
   Google Scholar
• Hong, T., Laefer, L., & Debra, F. (2014). Application of terrestrial laser scanner in bridge inspection: Review and an opportunity, International Association for Bridge and Structural Engineering (IABSE) 40(1), 67–77.
   Google Scholar
• Howlett, E.M. (1983). Wide angle color photography method and system, LEEP Systems, Waltham, USA.
   Google Scholar
• Hutchinson, T.C., & Chen, Z. (2006). Improved image analysis for evaluating concrete damage. Journal of Computing in Civil Engineering, 20(3), 210–216. doi: 10.1061/(ASCE)0887-3801(2006)20:3(210)
   Web of Science ®Google Scholar
• Inspection manual for highway structures. (2007). London: TSO.
   Google Scholar
• Jin, D., Yan, F., & Ito, Y. (2007). Applications of virtual reality to civil and architectural engineering projects, Internations sympsium on innovation and sustainability of structures in Civil Engineering, Shangai, China, November 28-30, 2007.
   Google Scholar
• Jockenhovel, J. (2011). What is it if it’s not real? It’s genre–Early colour film and digital 3D. Cinemascope, 7(15), 1–14.
   Google Scholar
• Krueger, M.(1991). Virtual Reality II 2nd edition, Addison-Wesley Professional, Boston, U.S.
   Google Scholar
• Laefer, D. F., Truong-Hong, L., Carr, H., & Singh, M. (2014). Crack detection limits in unit based masonry with terrestrial laser scanning. NDT & E International, 62, 66–76. doi: 10.1016/j.ndteint.2013.11.001
   Web of Science ®Google Scholar
• Lau, H., Lau, K., & Kan, C. (2013). The future of virtual environments: The development of virtual technology. Computer Science and Information Technology, 1(1), 41–50.
   Google Scholar
• Leadem, R. (2016). 10 amazing uses of virtual reality, FOX NewsUS. Retrieved from http://www.foxnews.com/us/2016/08/22/10-amazing-uses-virtual-reality.html
   Google Scholar
• Leica Geosystems (2018). Leica ScanStation P30/P40: because every detail matters. Retrieved form https://leica-geosystems.com/en-gb/products/laser-scanners/scanners/leica-scanstation-p40–p30
   Google Scholar
• Lele, A. (2013). Virtual reality and its military utility. Journal of Ambient Intelligence and Humanized Computing, 4(1), 17–26. doi: 10.1007/s12652-011-0052-4
   Web of Science ®Google Scholar
• Lichti, D. D., & Harvey, B. R. (2002). The effects of reflecting surface material properties on time of flight laser scanner measurements. In Symposium on Geospatial Theory, Processing and Applications, Ottawa, Canada.
   Google Scholar
• Liu, W., Chen, S.-E., & Hasuer, E. (2012). Bridge clearance evaluation based on terrestrial LIDAR scan. Journal of Performance of Constructed Facilities, 26(4), 469–477. doi: 10.1061/(ASCE)CF.1943-5509.0000208
   Web of Science ®Google Scholar
• Liu, P., Chen, A. Y., Huang, Y.-N., Han, J.-Y., Lai, J.-S., Kang, S.-C., Wu, T.-H., Wen, M.-C., & Tsai, M.-H. (2014). A review of rotorcraft unmanned aerial vehicle (UAV) developments and applications in civil engineering. Smart Structural Systems, 13(6), 1065–1094. doi: 10.12989/sss.2014.13.6.1065
   Web of Science ®Google Scholar
• Margetts, L. (2002). Parallel finite element analysis (PhD thesis). University of Manchester, Manchester, UK.
   Google Scholar
• McKibbins, L. D., Melbourne, C., Sawar, N., & Gallard, C.S. (2006). Masonry arch bridges: Condition appraisal and remedial treatment. CIRIA C656, London, UK.
   Google Scholar
• McMillan, K., Flood, K., & Glaeser, R. (2017). Virtual reality, augmented reality, mixed reality, and the marine conservation movement. Aquatic Conservation: Marine and Freshwater Ecosystems, 27, 162–168. doi: 10.1002/aqc.2820
   Web of Science ®Google Scholar
• Merkle, W.J., & Myers, J.J. (2006). Load testing and load distribution response of Missouri bridges retrofitted with various FRP systems using a non-contact optical measurement system. In Transportation Research Board 85th Annual meeting, Washington, DC.
   Google Scholar
• Microsoft (2018). Adaptive scalable texture compression (preliminary). Retrieved from https://msdn.microsoft.com/en-us/library/windows/desktop/dn903790(v=vs.85).aspx
   Google Scholar
• Miyamoto, M., Konno, M.A. & Bruhwiler, E. (2007). Automatic crack recognition system for concrete structures using image processing approach. Asian Journal of Information Technology, 6, 553–561.
   Google Scholar
• Mizoguchi, T., Koda, Y., Iwaki, I., Wakabayashi, H., Kobayashi, Y., Shirai, K., Hara, Y., & Lee, H.-S. (2013). Quantitative scaling evaluation of concrete structures based on terrestrial laser scanning. Automation in Construction, 35, 263–274. doi: 10.1016/j.autcon.2013.05.022
   Web of Science ®Google Scholar
• Mohajeri, M.H., & Manning, P.J. (1991). ARIA: An operating system of pavement distress diagnosis by image processing. Transportation Research Record, 1311, 120–130.
   Google Scholar
• Mohan, A., & Poobal, S. (2017). Crack detection using image processing: A critical review and analysis. Alexandria Journal of Bridge Engineering, 57(2), 797–798.
   Google Scholar
• Molenby, V., McMananmon, P., & Kobayashi, O.W.C. (2016). Laser radar: Historical prospective from the east to the west. Optical Engineering, 51(6), 64301.
   Google Scholar
• Newton, I. (2017). The Evolution of 3D laser scanning: Shoulder of giants,Trimble Publisher, California, USA.
   Google Scholar
• Omer, M., Hewitt, S., Mosleh, M.H., Margetts, L., & Parwaiz, M. (2018). Performance evaluation of bridges using virtual reality. In Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7) Glasgow, UK.
   Google Scholar
• Rashidi, M., & Gibson, P. (2011). Proposal of a methodology for bridge condition assessment. In Australasian Transport Research Forum 2011 Proceedings, Adelaide, Australia, September 28-30, 2011.
   Google Scholar
• Rehm, K.C.P.E. (2013). Bridge inspection: Primary element bridge inspection continues to evolve in U.S. Retrieved from https://www.roadsbridges.com/bridge-inspection-primary-element
   Google Scholar
• Rheingold, H. (1991). Virtual reality: Exploring the brave new technologies. Simon & Schuster Adult, New York, USA.
   Google Scholar
• Riveiro, B., Arias, P., Armesto, J., Rial, F., & Solla, M. (2008). Multidisciplinary approach to historical arch bridges documentation. ISPRS Journal of Photography and Remote Sensing, 37 (B5),247-252.
   Google Scholar
• Riveiro, B., Jorge, H.G., Varela, M., & Jauregui, D.V. (2013). Validation of terrestrial laser scanning and photogrammetry techniques for the measurement of vertical under clearance and beam geometry in structural inspection of bridges. Measurement, 46(1), 784–794. doi: 10.1016/j.measurement.2012.09.018
   Web of Science ®Google Scholar
• Robert, R. (2007). Traditional inspection techniques: The foundation of structural health monitoring. McCormick School of Engineering and Applied Science, Northwestern University, Illinois, USA.
   Google Scholar
• Sampaio, A.Z., Ferreira, M.M., Rosário, D.P., & Martins, O.P. (2010). 3D and VR models in civil engineering education: Construction, rehabilitation and maintenance. Automation in Construction, 19(7), 819–828. doi: 10.1016/j.autcon.2010.05.006
   Web of Science ®Google Scholar
• Samsung Oculus (2017). Samsung Gear VR specifications. Retrieved from https://www.samsung.com/global/galaxy/gear-vr/specs/
   Google Scholar
• Samsung (2015). Galaxy S6 in now. Retrieved from https://www.samsung.com/global/galaxy/galaxys6/galaxy-s6/#!/spec
   Google Scholar
• Seu, E., Hewitt, S., & Margetts, L. (2018). Use of gaming and affordable VR technology for the visualization of complex flow fields. In Proceedings of the 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7) Glasgow, UK.
   Google Scholar
• Shields, R. (2003). The virtual, Routledge. New York, USA.
   Google Scholar
• Shiratuddin, M.F., & Zulkifli, A.N. (2001). Virtual reality in manufacturing, In: Management Education for the 21st Century Vietnam,China, September 12-14, 2001.
   Google Scholar
• Shuster, M. (2010). Using virtual reality to make nuclear reality safer, national security. Retrieved from https://www.npr.org/templates/story/story.php?storyId=126281862&t=1535316384847
   Google Scholar
• Sutherland, I.E. (1968). A head-mounted three-dimensional display. AFIPS '68 In Fall Joint Computer conference, California, USA, December 9-11, 1968.
   Google Scholar
• Teza, G., Galgaro, A., & Moro, F. (2009). Contactless recognition of concrete surface damage from laser scanning and curvature computation. NDT & E International, 42(4), 240–249. doi: 10.1016/j.ndteint.2008.10.009
   Web of Science ®Google Scholar
• Golabi, K., Thompson, P., & Hyman, W. (1993). A network optimization system for bridge improvements and maintenance. Technical manual, US Department of Transportation, Federal Highway Administration.
   Google Scholar
• Thompson, P.D., Shepard, R.W., & AASHTO (2000). Commonly recognized bridge elements. Materials for National Workshop on Commonly Recognized Measures for Maintenance, Scottsdale, Arizona.
   Google Scholar
• Tong, X., Guo, J., Ling, Y., & Yin, Z. (2011). A new image-based method for concrete bridge bottom crack detection. In Image analysis and signal processing, Hubei, China.
   Google Scholar
• Woods, W.D. (2011). The Apollo flights: A brief history. Springer Praxis Books, New York, USA.
   Google Scholar
• Zimmerman, T.G. (1982, September 29). Optical flex sensor, VPL Research Inc, California, USA.
   Google Scholar
• Zyda, M. (2005). From visual simulation to virtual reality to game. IEEE Computer Society, 38(9), 25–32.
   Google Scholar