Technical Papers
May 26, 2018

Synthesis of Unmanned Aerial Vehicle Applications for Infrastructures

Publication: Journal of Performance of Constructed Facilities
Volume 32, Issue 4

Abstract

This paper is intended to provide the state-of-the-art and of-the-practice on visual inspection, monitoring, and analysis of infrastructure using unmanned aerial vehicles (UAVs). Several researchers have inspected various civil infrastructures, including bridges, buildings, and other structures, by capturing close-up images or recording videos, while operating UAVs. Various image analysis tools, such as the algorithm Morphological Link for Crack (Morpholink-C), were able to conduct precise measurements of crack thickness and length. Corrosion has also been detected using texture and color algorithms to investigate UAV-based images. Other analysis methods include structurally integrated sensors, such as digital image correlation equipment, which have helped to capture structural behaviors using UAVs. After the literature review was completed, a nationwide survey was distributed to Departments of Transportation (DOTs) to evaluate the current UAV-enabled inspection techniques that different DOTs have used or are planning to use for visual damage assessment for critical transportation infrastructures, especially bridges. Furthermore, a pertinent UAV selection was completed to indicate suitable UAVs for bridge inspection. Primary findings have shown that UAV-enabled infrastructure inspection techniques have been successfully developed to detect a broad variety of damage (including cracks and corrosions), and a few DOTs have used UAVs to inspect bridges as a more economical and versatile tool.

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Acknowledgments

Financial support for this research was provided by the Federal Highway Administration through the Forest Products Laboratory (USDA–Forest Service). The assistance and cooperation of the South Dakota DOT is gratefully acknowledged.

References

Aghaei, M., F. Grimaccia, C. A. Gonano, and S. Leva. 2015. “Innovative automated control system for PV fields inspection and remote control.” IEEE Trans. Ind. Electron. 62 (11): 7287–7296. https://doi.org/10.1109/TIE.2015.2475235.
Autel Robotics. 2016. “Autel robotics X-star premium.” Accessed July 25, 2016. https://www.autelrobotics.com/x-star-premium-tech-specs/.
Barfuss, S. L., A. Jensen, and S. Clemens. 2012. Evaluation and development of unmanned aircraft (UAV) for UDOT needs. Salt Lake City, UT: Utah Dept. of Transportation.
Bento, M. P., F. N. de Medeiros, I. C. de Paula Jr, and G. L. Ramalho. 2009. “Image processing techniques applied for corrosion damage analysis.” In Proc., XXII Brazilian Symp. on Computer Graphics and Image Processing. Rio de Janeiro, Brazil: DBLP.
Chan, B., H. Guan, J. Jo, and M. Blumenstein. 2015. “Towards UAV-based bridge inspection systems: A review and an application perspective.” Struct. Monit. Maint. 2 (3): 283–300. https://doi.org/10.12989/smm.2015.2.3.283.
Chanda, S., G. Bu, H. Guan, J. Jo, U. Pal, Y.-C. Loo, and M. Blumenstein. 2014. “Automatic bridge crack detection: A texture analysis-based approach.” In Proc., IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 193–203. Ulm, Germany: Springer.
Chen, S., C. Rice, C. Boyle, and E. Hauser. 2011. “Small-format aerial photography for highway-bridge monitoring.” J. Perform. Constr. Facil. 25 (4): 105–112. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000145.
Daftry, S., C. Hoppe, and H. Bischof. 2015. “Building with drones: Accurate 3D facade reconstruction using MAVs.” In Proc., IEEE Int. Conf. on Robotics and Automation, 3487–3494. New York: IEEE.
DJI. 2013a. “DJI Matrice 100.” Accessed July 25, 2016. http://www.dji.com/product/matrice100/info#specs.
DJI. 2013b. “DJI Phantom 3.” Accessed July 25, 2016. http://www.dji.com/product/phantom-3-pro/info#specs.
DJI. 2014a. “DJI Inspire 1.” Accessed July 25, 2016. http://www.dji.com/product/inspire-1/info#specs.
DJI. 2014b. “DJI S900.” Accessed July 25, 2016. http://www.dji.com/product/spreading-wings-s900/info#specs.
DJI. 2016. “DJI Phantom 4.” Accessed July 25, 2016. http://www.dji.com/product/phantom-4/info#specs.
Duque, L., J. Seo, and J. Wacker. 2017. “Timber bridge Inspection using UAV.” In Proc., 2018 ASCE Structures Congress. Reston, VA: ASCE.
Dye Management Group. 2014. Monitoring highway assets with remote technology MDOT research project number: OR10-030. Lansing, MI: Michigan Dept. of Transportation.
Ellenberg, A., A. Kontsos, I. Bartoli, and A. Pradhan. 2014. “Masonry crack detection application of an unmanned aerial vehicle.” In Proc., 2014 Conf. in Computing on Civil and Building Engineering, 1788–1795. Reston, VA: ASCE.
Ellenberg, A., A. Kontsos, F. Moon, and I. Bartoli. 2016. “Bridge related damage quantification using unmanned aerial vehicle imagery.” Struct. Control and Health Monit. 23 (9): 1168–1179. https://doi.org/10.1002/stc.1831.
Eschmann, C., C.-M. Kuo, and C. Boller. 2012. “Unmanned aircraft systems for remote building inspection and monitoring.” In Vol. 2 of Proc., 6th European Workshop on Structural Health Monitoring, 1–8. Berlin, Germany: DGZIP.
Eschmann, C., C.-M. Kuo, C.-H. Kuo, and C. Boller. 2013. “High-resolution multisensor infrastructure inspection with unmanned aircraft systems.” In Vol. XL-1/W2 of Proc., ISPRS—Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 125–129. Paris, France: ISPRS.
Evaraerts, J. 2008. “The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping.” In Vol. XXXVII of Proc., Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1187–1192. Paris, France: ISPRS.
FAA (Federal Aviation Administration). 2016. Code of federal regulations (14 CFR) Part 107. Washington, DC: FAA.
Guerrero, J. A., and Y. Bestaoui. 2013. “UAV path planning for structure inspection in windy environments.” J. Intell. Rob. Syst.: Theory Appl. 69 (1–4): 297–311. https://doi.org/10.1007/s10846-012-9778-2.
Hachem, Y., K. Zografos, and M. Soltani. 1991. “Bridge inspection strategies.” J. Perform. Constr. Facil. 5 (1): 37–56. https://doi.org/10.1061/(ASCE)0887-3828(1991)5:1(37).
Hallermann, N., and G. Morgenthal. 2013. “Unmanned aerial vehicles (UAV) for the assessment of existing structures.” In Proc., Int. Association for Bridge and Structural Engineering, 1–8. Zurich, Switzerland: International Association for Bridge and Structural Engineering.
Hallermann, N., and G. Morgenthal. 2014. “Visual inspection strategies for large bridges using unmanned aerial vehicles (UAV).” In Proc., 7th Int. Conf. on Bridge Maintenance, Safety and Management. Washington, DC: Transportation Research Board.
Hallmark, S. L., K. Mantravadi, D. Veneziano, and R. R. Souleyrette. 2001. Evaluating remotely sensed images for use in inventorying roadway infrastruture features. Santa Brabara, CA: National Consortium on Remote Sensing in Transportation for Infrastructure.
Henriques, M., and D. Roque. 2015. “Unmanned aerial vehicles (UAV) as a support to visual inspections of concrete dams.” In Proc., 2nd Int. Dam World Conf., 1–12. Lisbon, Portugal: Laboratório Nacional de Engenharia Civil.
Hutchinson, T. C., and Z. Chen. 2010. “Image-based framework for concrete surface crack monitoring and quantification.” Adv. Civ. Eng. 2010: 1–18. https://doi.org/10.1155/2010/215295.
Irizarry, J., and D. Bastos. 2016. “Exploratory study of potential applications of unmanned aerial systems for construction management tasks.” J. Manage. Eng. 32 (3): 05016001. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000422.
Irizarry, J., M. Gheisari, and B. N. Walker. 2012. “Usability assessment of drone technology as safety inspection tools.” J. Inf. Technol. Constr. 17: 194–212.
Jahanshahi, M. R., J. S. Kelly, S. F. Masri, and G. S. Sukhatme. 2009. “A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures.” Struct. Infrastruct. Eng. 5 (6): 455–486. https://doi.org/10.1080/15732470801945930.
Jizhou, W., L. Zongjian, and L. Chengming. 2004. “Reconstruction of buildings from a single UAV image.” In Proc., Int. Society for Photogrammetry and Remote Sensing Congress, edited by A. Gruen, S. Murai, T. Fuse, and F. Remondino, 100–103. Pitsanulok, Thailand: International Society of Photogrammetry and Remote Sensing.
Khaloo, A., D. Lattanzi, K. Cunningham, R. Dell’Andrea, and M. Riley. 2018. “Unmanned aerial vehicle inspection of the placer river trail bridge through image-based 3D modeling.” Struct. Infrastruct. Eng. 14 (1): 124–136. https://doi.org/10.1080/15732479.2017.1330891.
Kim, H., J. Lee, E. Ahn, S. Cho, M. Shin, and S.-H. Sim. 2017. “Concrete crack identification using a UAV incorporating hybrid image processing.” Sensors 17 (9): 2052. https://doi.org/10.3390/s17092052.
Kim, J., S. Kim, J. Park, and J. Nam. 2015. “Development of crack detection system with unmanned aerial vehicles and digital image processing.” In Proc., Advances in Structural Engineering and Mechanics. Yuseong, Daejeon, Korea: SAGE.
Koch, C., S. G. Paal, A. Rashidi, Z. Zhu, M. König, I. Brilakis, and S. German Paal. 2014. “Achievements and challenges in machine vision-based inspection of large concrete structures.” Adv. Struct. Eng. 17 (3): 303–318. https://doi.org/10.1260/1369-4332.17.3.303.
Koonce, J., T. Demski, M. Rowe, and N. Morriss. 2011. Bridge inspection access to minimize operational impacts. Chicago: Collins Engineering.
Lee, J. J., and M. Shinozuka. 2006. “A vision-based system for remote sensing of bridge displacement.” NDT & E Int. 39 (5): 425–431. https://doi.org/10.1016/j.ndteint.2005.12.003.
Lovelace, B., and J. Zink. 2015. Unmanned aerial vehicle bridge inspection demonstration project. St. Paul, MN: Minnesota Dept. of Transportation Research Services and Library.
Mascareñas, D., E. Flynn, M. Todd, and C. San. 2008. “Wireless sensor technologies for monitoring civil structures.” Sound Vibr. 42 (4): 16–20.
McGuire, B., R. Atadero, C. Clevenger, and M. Ozbek. 2016. “Bridge information modeling for inspection and evaluation.” J. Br. Eng. 21 (4): 4015076. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000850.
Metni, N., and T. Hamel. 2007. “A UAV for bridge inspection: Visual servoing control law with orientation limits.” Autom. Constr. 17 (1): 3–10. https://doi.org/10.1016/j.autcon.2006.12.010.
Michaelsen, E., and J. Meidow. 2014. “Stochastic reasoning for structural pattern recognition: An example from image-based UAV navigation.” Pattern Recognit. 47 (8): 2732–2744. https://doi.org/10.1016/j.autcon.2006.12.010.
Moller, P. 2008. CALTRANS bridge inspection aerial robot. Washington, DC: Office of Transportation Management Final Report Federal Highway Administration.
Moranduzzo, T., and F. Melgani. 2014. “Monitoring structural damages in big industrial plants with UAV images.” In Proc., Int. Geoscience and Remote Sensing Symp. (IGARSS), 4950–4953. Trento, Italy: IEEE.
Morgenthal, G., and N. Hallermann. 2014. “Quality assessment of unmanned aerial vehicle (UAV) based visual inspection of structures.” Adv. Struct. Eng. 17 (3): 289–302. https://doi.org/10.1260/1369-4332.17.3.289.
Nebiker, S., A. Annen, M. Scherrer, and D. Oesch. 2008. “A light-weight multispectral sensor for micro UAV: Opportunities for very high resolution airborne remote sensing.” In Vol. XXXVII of Proc., Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1193–1200. Paris, France: ISPRS.
Otero, L. D. 2015. Proof of concept for using unmanned aerial vehicles for high mast pole and bridge inspections. Melbourne, FL: Florida Dept. of Transportation.
Püschel, H., M. Sauerbier, and H. Eisenbeiss. 2008. “A 3D model of Castle Landenberg (CH) from combined photogrametric processing of terrestrial and UAV based images.” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 37: 93–98.
Rathinam, S., Z. W. Kim, and R. Sengupta. 2008. “Vision-based monitoring of locally linear structures using an unmanned aerial vehicle.” J. Inf. Technol. Constr. 14 (1): 52–63. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(52).
Reagan, D., A. Sabato, and C. Niezrecki. 2017. “Unmanned aerial vehicle acquisition of three-dimensional digital image correlation measurements for structural health monitoring of bridges.” In Proc., SPIE Smart Structures and Materials and Nondestructive Evaluation and Health Monitoring. Portland, OR: Society of Photo-optical Instrumentation Engineers.
Remondino, F., L. Barazzetti, F. Nex, M. Scaioni, and D. Sarazzi. 2012. “UAV photogrammetry for mapping and 3D modeling: Current status and future perspectives.” In Vol. XXXVIII-1 of Proc., ISPRS—Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 25–31. Paris, France: ISPRS.
Roca, D., S. Laguela, L. Diaz-Vilariño, J. Armesto, P. Arias, S. Lagüela, L. Díaz-Vilariño, J. Armesto, and P. Arias. 2013. “Low-cost aerial unit for outdoor inspection of building facades.” Autom. Constr. 36: 128–135. https://doi.org/10.1016/j.autcon.2013.08.020.
Sensefly. 2016a. “Sensefly albris.” Accessed July 25, 2016. https://www.sensefly.com/drones/albris.html.
Sensefly. 2016b. “Sensefly eBee.” Accessed July 25, 2016. https://www.sensefly.com/drones/ebee.html.
Seo, J., L. Duque, and J. Wacker. 2017a. “Field application of UAS-based bridge inspection.” In Proc., Transportation Research Board 97th Annual Meeting. Washington DC: Transportation Research Board.
Seo, J., J. Wacker, and L. Duque. 2017b. Evaluation of unmanned aircraft systems as a bridge inspection tool. Madison, WI: US Dept. of Agriculture, Forest Service, Forest Products Laboratory.
Siebert, S., and J. Teizer. 2014. “Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system.” Autom. Constr. 41: 1–14. https://doi.org/10.1016/j.autcon.2014.01.004.
Turner, D., A. Lucieer, and C. Watson. 2012. “An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SFM) point clouds.” Remote Sens. 4 (5): 1392–1410. https://doi.org/10.3390/rs4051392.
Tyutyundzhiev, N., K. Lovchinov, F. Martínez-Moreno, J. Leloux, and L. Narvarte. 2015. “Advanced PV modules inspection using multirotor UAV.” In Proc., 31st European Photovoltaic Solar Energy Conf. and Exhibition. Madrid, Spain: Universidad Politecnica de Madrid.
Walkera. 2015. “Walkera Voyager 3.” Accessed July 25, 2016. http://www.walkera.com/index.php/Goods/canshu/id/25.html.
Wells, J., and B. Lovelace. 2017. Unmanned aircraft system bridge inspection demonstration project Phase II. St. Paul, MN: Minnesota Dept. of Transportation Research Services and Library.
Yin, Z. 2014. A quadcopter with heterogeneous sensors for autonomous bridge inspection. Washington, DC: US Dept. of Transportation-Research, Innovation and Technology Innovation Administration.
Yuneec. 2015. “Yuneec Typhoon 4K.” Accessed July 25, 2016. https://yuneec.com/en_US/products/typhoon/q500-4k/specs.html.
Yuneec. 2016. “Yuneec Typhoon H.” Accessed July 25, 2016. https://yuneec.com/en_US/products/typhoon/h/specs.html.
Zhang, C., and A. Elaksher. 2012. “An unmanned aerial vehicle-based imaging system for 3D measurement of unpaved road surface distresses.” Comput.-Aided Civ. Infrastruct. Eng. 27 (2): 118–129. https://doi.org/10.1111/j.1467-8667.2011.00727.x.
Zhang, Y., J. Xiong, and L. Hao. 2011. “Photogrammetric processing of low-altitude images acquired by unpiloted aerial vehicles.” Photogramm. Rec. 26 (134): 190–211. https://doi.org/10.1111/j.1477-9730.2011.00641.x.
Zischinsky, T., L. Dorffner, and F. Rottensteiner. 2000. “Application of a new model helicopter system in architectural photogrammetry.” In Vol. 33 of Proc., Int. Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences, 177–183.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 32Issue 4August 2018

History

Received: Nov 22, 2017
Accepted: Jan 26, 2018
Published online: May 26, 2018
Published in print: Aug 1, 2018
Discussion open until: Oct 26, 2018

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Luis Duque, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, South Dakota State Univ., Brookings, SD 57006. Email: [email protected]
Junwon Seo, Ph.D., P.E., M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, South Dakota State Univ., Brookings, SD 57006 (corresponding author). Email: [email protected]
James Wacker, M.ASCE [email protected]
Research Engineer, Forest Service, US Forest Products Lab, One Gifford Pinchot Dr., Madison, WI 53726. Email: [email protected]

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