Cawley, B., and R. Duval. n.d. “E-Construction Factsheet.” Accessed 28 October 2022. aii.transportation.org/Documents/eConstruction/ econstruction-factsheet.pdf. Chemrouk, M. 2015. “The deteriorations of reinforced concrete and the option of high performances reinforced concrete.” Procedia Engineering 125:713–24. https://doi.org/10.1016/j.proeng.2015.11.112. Chen, S., D.F. Laefer, E. Mangina, S.M. Iman Zolanvari, J. Byrne. 2019. “UAV bridge inspection through evaluated 3D reconstructions.” Journal of Bridge Engineering 24 (4). https://doi.org/10.1061/(ASCE)BE.1943- 5592.0001343. Chernov, N. 2022. Circle Fit (Pratt method) (https://www.mathworks. com/matlabcentral/fileexchange/22643-circle-fit-pratt method), MATLAB Central File Exchange. Retrieved July 13, 2022. Concrete Construction. 2005. “Placing Reinforcing Steel.” Concrete Construction, 13 March 2005, concreteconstruction.net/how-to/ construction/placing-reinforcing-steel_o. Correa, D.S.O., D.F. Sciotti, M.G. Prado, D.O. Sales, D.F. Wolf, and F.S. Osorio. 2012. “Mobile Robots Navigation in Indoor Environments Using Kinect Sensor,” 2012 Second Brazilian Conference on Critical Embedded Systems, Sao Paulo, Brazil. https://doi.org/10.1109/CBSEC.2012.18. Cusson, D. 2009. “Durability of repaired concrete structures.” In Woodhead Publishing Series in Civil and Structural Engineering: Failure, Distress and Repair of Concrete Structures, ed. Norbert Delatte, 296–321. Sawston, UK: Woodhead Publishing. https://doi.org/10.1533/9781845697037.2.296. De Souza, T., A.P. Annan, J.D. Redman, and N. Hu. 2004. “Monitoring the GPR response of curing concrete.” 16th World Conference on NDT, Montreal, Canada. El-laithy, R.A., J. Huang, and M. Yeh. 2012. “Study on the use of Micro- soft Kinect for robotics applications.” Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium, Myrtle Beach, SC. https:// doi.org/10.1109/PLANS.2012.6236985. Estes, A.C., and D.M. Frangopol. 2003. “Updating bridge reliability based on bridge management systems visual inspection results.” Journal of Bridge Engineering 8 (6): 374–82. https://doi.org/10.1061/(ASCE)1084- 0702(2003)8:6(374). Gucunski, N., S.-H. Kee, H. La, B. Basily, A. Maher, and H. Ghasemi. 2015. “Implementation of a fully autonomous platform for assessment of concrete bridge decks RABIT.” Structures Congress 2015, Portland, OR. https://doi.org/10.1061/9780784479117.032. Ivanovic, A., L. Markovic, M. Car, I. Duvnjak, and M. Orsag. 2021. “Towards Autonomous Bridge Inspection: Sensor Mounting Using Aerial Manip- ulators.” Applied Sciences (Basel, Switzerland) 11 (18): 8279. https://doi. org/10.3390/app11188279. John Samuel, I., O. Salem, and S. He. 2022. “Defect-oriented supportive bridge inspection system featuring building information modeling and augmented reality.” Innovative Infrastructure Solutions 7: 247. https://doi. org/10.1007/s41062-022-00847-3. Kopsida, M., I. Brilakis, and P.A. Vela. 2015. “A review of automated construction progress monitoring and inspection methods.” 32nd CIB W78 Conference on Construction IT, Eindhoven, Netherlands. Kuang, K.S.C., S. T. Quek, C. G. Koh, W. J. Cantwell, and P. J. Scully. 2009. “Plastic Optical Fibre Sensors for Structural Health Monitoring: A Review of Recent Progress.” Journal of Sensors 2009: Article ID 312053. https://doi. org/10.1155/2009/312053. Kuo, C., C. Kuo, S. Lin, M.C.E. Manuel, P.T. Lin, Y. Hsieh, and W. Lu. 2016. “Infrastructure Inspection Using an Unmanned Aerial System (UAS) With Metamodeling-Based Image Correction.” Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2B: 42nd Design Automation Conference. Charlotte, NC. August 21–24, 2016. V02BT03A022. ASME. https://doi.org/10.1115/DETC2016-59193. Ma, M., P. Fallavollita, T. Blum, U. Eck, C. Sandor, S. Weidert, J. Waschke, and N. Navab. 2013. “Kinect for Interactive AR Anatomy Learning.” 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). https://doi.org/10.1109/ISMAR.2013.6671803. Mascareñas, D.D.L., J.P. Ballor, O.L. McClain, M.A. Mellor, C.-Y. Shen, B. Bleck, J. Morales, L.-M.R. Yeong, B. Narushof, P. Shelton, E. Martinez, Y. Yang, A. Cattaneo, T.A. Harden, and F. Moreu. 2021. “Augmented reality for next generation infrastructure inspections.” Structural Health Monitoring 20 (4): 1957–79. doi:10.1177/1475921720953846. Masoumi, F., F. Akgül, and A. Mehrabzadeh. 2013. “Condition assessment of reinforced concrete bridges by combined nondestructive test tech- niques.” IACSIT International Journal of Engineering and Technology 5 (6): 708–11. https://doi.org/10.7763/IJET.2013.V5.647. Memarzadeh, M., and M. Pozzi. 2016. “Value of information in sequential decision making: Component inspection, permanent monitoring and system-level scheduling.” Reliability Engineering & System Safety 154:137– 51. https://doi.org/10.1016/j.ress.2016.05.014. Microsoft. 2022. “Azure Kinect DK hardware specifications.” Azure Kinect DK, Azure, Learn, last modified 2 September 2022. docs.microsoft.com/ en-us/azure/kinect-dk/hardware-specification. Nasrollahi, M., N. Bolourian, Z. Zhu, and A. Hammad. 2018. “Designing LiDAR-equipped UAV platform for structural inspection.” Proceedings of the International Symposium on Automation and Robotics in Construc- tion. Newman, T. S., and A. K. Jain. 1995. “A survey of automated visual inspec- tion.” Computer Vision and Image Understanding 61 (2): 231–62. https:// doi.org/10.1006/cviu.1995.1017. Patsadu, O., C. Nukoolkit, and B. Watanapa. 2012. “Human gesture recog- nition using Kinect camera.” 2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE), Bangkok, Thailand. https://doi.org/10.1109/JCSSE.2012.6261920. Perry, B. J., Y. Guo, R. Atadero, and J. W. van de Lindt. 2020. “Streamlined bridge inspection system utilizing unmanned aerial vehicles (UAVs) and machine learning.” Measurement 164:108048. https://doi.org/10.1016/j. measurement.2020.108048. Qi, X., D. Lichti, M. El-Badry, J. Chow, and K. Ang. 2014. “Vertical dynamic deflection measurement in concrete beams with the Microsoft Kinect.” Sensors (Basel) 14 (2): 3293–307. https://doi.org/10.3390/s140203293. Ren, Z., J. Yuan, J. Meng, and Z. Zhang. 2013. “Robust part-based hand gesture recognition using kinect sensor.” IEEE Transactions on Multimedia 15 (5): 1110–20. https://doi.org/10.1109/TMM.2013.2246148. Sanford, K.L., P. Herabat, and S. McNeil. 1999. “Bridge management and inspection data: Leveraging the data and identifying the gaps.” Eighth Transportation Research Board Conference on Bridge Management, Denver, CO. Słowik, M. 2019. “The analysis of failure in concrete and reinforced concrete beams with different reinforcement ratio.” Archive of Applied Mechanics 89 (5): 885–95. https://doi.org/10.1007/s00419-018-1476-5. Rens, K. L., T. J. Wipf, and F. W. Klaiber. 1997. “Review of nondestructive evaluation techniques of civil infrastructure.” Journal of Performance of Constructed Facilities 11 (4): 152–60. https://doi.org/10.1061/(ASCE)0887- 3828(1997)11:4(152). Tosti, F., and C. Ferrante. 2020. “Using ground penetrating radar methods to investigate reinforced concrete structures.” Surveys in Geophysics 41 (3): 485–530. https://doi.org/10.1007/s10712-019-09565-5. Vera, L., J. Gimeno, I. Coma, M. Fernández. 2011. “Augmented Mirror: Interactive Augmented Reality System Based on Kinect.” In Human-Com- puter Interaction – INTERACT 2011.eds. Campos, P., N. Graham, J. Jorge, N. Nunes, P. Palanque, and M. Winckler. INTERACT 2011. Lecture Notes in Computer Science, vol 6949. Springer, Berlin, Heidelberg. https://doi. org/10.1007/978-3-642-23768-3_63. ME | RGBDCAMERAS 54 M AT E R I A L S E V A L U AT I O N • J A N U A R Y 2 0 2 3 2301 ME Jan New.indd 54 12/20/22 8:15 AM
Wang, J., W. Sun, W. Shou, X. Wang, C. Wu, H.-Y. Chong, Yan Liu, and C. Sun. 2015. “Integrating BIM and LiDAR for real-time construction quality control.” Journal of Intelligent & Robotic Systems 79:417–32. https://doi. org/10.1007/s10846-014-0116-8. Wang, S., S.A. Zargar, C. Xu, and F.G. Yuan. 2019. “An efficient augmented reality (AR) system for enhanced visual inspection.” Structural Health Monitoring 2019. https://doi.org/10.12783/shm2019/32278. Wilkie, S. and T. Dyer. 2022. “Design and durability of early 20th century concrete bridges in Scotland: a review of historic test data.” International Journal of Architectural Heritage, 16 (8):1131–1151. https://doi.org/10.1080/1 5583058.2020.1870776. Wójcik, B., and M. Zarski. . 2021. “The measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection.” Bulletin of the Polish Academy of Sciences. Technical Sciences 69 (3): e137123. https:// doi.org/10.24425/bpasts.2021.137123. Wood, R.L., and M.E. Mohammadi. 2015. “LiDAR Scanning with Supple- mentary UAV Captured Images for Structural Inspections.” International LiDAR Mapping Forum 2015, Denver, CO. Yuan, X., A. Smith, R. Sarlo, C. D. Lippitt, and F. Moreu. 2021a. “Automatic evaluation of rebar spacing using LiDAR data.” Automation in Construction 131:103890. https://doi.org/10.1016/j.autcon.2021.103890. Yuan, X., F. Moreu, and M. Hojati. 2021b. “Cost-Effective Inspection of Rebar Spacing and Clearance Using RGB-D Sensors.” Sustainability (Basel) 13 (22): 12509. https://doi.org/10.3390/su132212509. Zucchi, M. 2015. “Drones: A Gateway Technology to Full Site Automation.” Engineering News-Record, 10 June 2015, enr.com/articles/9040-drones-a- gateway-technology-to-full-site-automation?v=preview. J A N U A R Y 2 0 2 3 • M AT E R I A L S E V A L U AT I O N 55 2301 ME Jan New.indd 55 12/20/22 8:15 AM
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