Concrete |
Crack |
[1010 L. D. Otero, N. Gagliardo, D. Dalli, W.-H. Huang, and P. Cosentino, Proof of Concept for Using Unmanned Aerial Vehicles for High Mast Pole and Bridge Inspections (Tech. Rep. BDV28-TWO-977-02). Tallahassee, FL: Florida Dept. Transp., Res. Center, 2015, http://dx.doi.org/10.13140/RG.2.1.4567.2166. http://dx.doi.org/10.13140/RG.2.1.4567.2...
], [1111 J. Seo, L. Duque, and J. Wacker, “Glued-laminated timber arch bridge inspection using UAV,” in Comput. Civ. Eng. 2019: Smart Cities, Sustainability, and Resilience, Reston, 2019, pp. 336–342.], [4343 J. Wells and B. Lovelace, Improving the Quality of Bridge Inspections Using Unmanned Aircraft Systems (UAS) (Tech. Rep. MN/RC 2018-26). St. Paul, MN: Minnesota Dept. Transp., 2018. [Online]. Available: https://trid.trb.org/view/1539868 https://trid.trb.org/view/1539868...
], [4545 M. N. Gillins, “Unmanned aircraft systems for bridge inspection: testing and developing end-to-end operational workflow,” M.S. thesis, Oregon State Univ., Corvallis, OR, USA, 2016. [Online]. Available: http://hdl.handle.net/1957/60001 http://hdl.handle.net/1957/60001...
], [5454 S. Dorafshan, R. J. Thomas, C. Coopmans, and M. Maguire, "A practitioner’s guide to small unmanned aerial systems for bridge inspection," Infrastruct., vol. 4, no. 4, pp. 72, 2019, http://dx.doi.org/10.3390/infrastructures4040072. http://dx.doi.org/10.3390/infrastructure...
], [5858 M. N. Gillins, D. T. Gillins, and C. Parrish, “Cost-effective bridge safety inspections using unmanned aircraft systems (UAS),” in Geotech. Struct. Eng. Congr., Phoenix, AZ, USA, 2016, pp. 1931–1940.], [6262 J. Seo, L. Duque, and J. Wacker, "Drone-enabled bridge inspection methodology and application," Autom. Construct., vol. 94, pp. 112–126, 2018, http://dx.doi.org/10.1016/j.autcon.2018.06.006. http://dx.doi.org/10.1016/j.autcon.2018....
]–[6565 J. Seo, L. Duque, and J. P. Wacker, "Field application of UAS-based bridge inspection," Transp. Res. Rec., vol. 2672, no. 12, pp. 72–81, 2018, http://dx.doi.org/10.1177/0361198118780825. http://dx.doi.org/10.1177/03611981187808...
], [6767 L. Duque, “UAV-based bridge inspection and computational simulations,” M.S. thesis, Dept. Civ. Environ. Eng., South Dakota State Univ., Brookings, SD, USA, 2017.], [8080 J. Seo, E. Jeong, and J. Wacker, “Visual bridge damage measurement using drone-captured image quality optimization,” in Eur. Workshop Struct. Health Monit., P. Rizzo and A. Milazzo, Eds., Cham: Springer International Publishing, 2021, pp. 503–513, http://dx.doi.org/10.1007/978-3-030-64908-1_47. http://dx.doi.org/10.1007/978-3-030-6490...
], [8181 E. Jeong, J. Seo, and J. Wacker, “Grayscale drone inspection image enhancement framework for advanced bridge defect measurement,” Transp. Res. Rec., vol. 2675, no. 8, pp. 603–612, 2021.], [117117 C.-H. Yang, M.-C. Wen, Y.-C. Chen, and S.-C. Kang, “An optimized unmanned aerial system for bridge inspection,” in 2015 Proc. 32nd Int. Symp. Automat. Robot. Constr. (ISARC), Oulu, Finland, 2015, pp. 1–6.], [130130 M. Yamada, M. Nakao, Y. Hada, and N. Sawasaki, “Development and field test of novel two-wheeled UAV for bridge inspections,” in 2017 Int. Conf. Unmanned Aircr. Syst. (ICUAS), Miami, FL, USA, 2017, pp. 1014–1021.], [137137 P. J. Sarkis and J. M. Sarkis, “Uso de drone em inspeção e definição de recuperação em OAEs,” in 9th Cong. Bras. Pontes e Estrut. (CBPE), Rio de Janeiro, Brazil, 2016, pp. 1–10.] |
[4646 S. Dorafshan, R. J. Thomas, C. Coopmans, and M. Maguire, “Deep learning neural networks for sUAS-assisted structural inspections: feasibility and application,” in 2018 Int. Conf. Unmanned Aircr. Syst. (ICUAS), Dallas, TX, USA, 2018, pp. 874–882.]–[4848 S. Dorafshan, M. Maguire, N. V. Hoffer, and C. Coopmans, Fatigue Crack Detection Using Unmanned Aerial Systems in Under-Bridge Inspection (Tech. Rep. FHWA-ITD-17-256). Boise, Idaho: Idaho Transp. Dept., 2017.], [5050 B. J. Perry, “Streamlined bridge inspection framework utilizing unmanned aerial vehicles (UAVs),” M.S. thesis, Dept. Civ. Environ. Eng., Colorado State Univ., Fort Collins, CO, USA, 2019. [Online]. Available: https://hdl.handle.net/10217/197417 https://hdl.handle.net/10217/197417...
]–[5353 Y. Xu and Y. Turkan, "BrIM and UAS for bridge inspections and management,” Eng. Constr. Archit. Manage., vol. 27, no. 3, pp. 785–807, 2020, http://dx.doi.org/10.1108/ECAM-12-2018-0556. http://dx.doi.org/10.1108/ECAM-12-2018-0...
], [5555 B. J. Perry, Y. Guo, R. Atadero, and J. W. van de Lindt, "Unmanned aerial vehicle (UAV)-enabled bridge inspection framework,” in Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations, H. Yokota and D.M. Frangopol, Eds., London: CRC Press, 2021, pp. 158–165.], [5656 B. J. Perry, Y. Guo, R. Atadero, and J. W. van de Lindt, "Tracking bridge condition over time using recurrent UAV-based inspection,” in Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. CRC Press, 2021, pp. 286–291.], [6060 J. J. Lin, A. Ibrahim, S. Sarwade, and M. Golparvar-Fard, "Bridge inspection with aerial robots: Automating the entire pipeline of visual data capture, 3D mapping, defect detection, analysis, and reporting," J. Comput. Civ. Eng., vol. 35, no. 2, pp. 04020064, 2021, http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000954. http://dx.doi.org/10.1061/(ASCE)CP.1943-...
], [6161 W. Wu, M. A. Qurishee, J. Owino, I. Fomunung, M. Onyango, and B. Atolagbe, “Coupling deep learning and UAV for infrastructure condition assessment automation,” in 2018 IEEE Int. Smart Cities Conf. (ISC2), Kansas City, MO, USA, 2018, pp. 1–7.], [6868 A. Humpe, "Bridge inspection with an off-the-shelf 360º camera drone," Drones, vol. 4, no. 4, pp. 67, 2020, http://dx.doi.org/10.3390/drones4040067. http://dx.doi.org/10.3390/drones4040067...
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], [7474 Y.-F. Liu, X. Nie, J.-S. Fan, and X.-G. Liu, "Image-based crack assessment of bridge piers using unmanned aerial vehicles and three-dimensional scene reconstruction," Comput. Aided Civ. Infrastruct. Eng., vol. 35, no. 5, pp. 511–529, 2020, http://dx.doi.org/10.1111/mice.12501. http://dx.doi.org/10.1111/mice.12501...
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], [7878 Z. Yu, Y. Shen, and C. Shen, "A real-time detection approach for bridge cracks based on YOLOv4-FPM," Autom. Construct., vol. 122, pp. 103514, 2021, http://dx.doi.org/10.1016/j.autcon.2020.103514. http://dx.doi.org/10.1016/j.autcon.2020....
], [9090 G. Morgenthal et al., "Framework for automated UAS-based structural condition assessment of bridges," Autom. Construct., vol. 97, pp. 77–95, 2019, http://dx.doi.org/10.1016/j.autcon.2018.10.006. http://dx.doi.org/10.1016/j.autcon.2018....
], [9696 A. Ellenberg, A. Kontsos, F. Moon, and I. Bartoli, "Bridge related damage quantification using unmanned aerial vehicle imagery," Struct. Contr. Health Monit., vol. 23, no. 9, pp. 1168–1179, 2016, http://dx.doi.org/10.1002/stc.1831. http://dx.doi.org/10.1002/stc.1831...
], [104104 Q. Zhu, T. H. Dinh, M. D. Phung, and Q. P. Ha, “Hierarchical convolutional neural network with feature preservation and autotuned thresholding for crack detection,” IEEE Access, vol. 9, pp. 60201–60214, 2021.]–[112112 H.-F. Wang, L. Zhai, H. Huang, L.-M. Guan, K.-N. Mu, and G. Wang, "Measurement for cracks at the bottom of bridges based on tethered creeping unmanned aerial vehicle," Autom. Construct., vol. 119, pp. 103330, 2020, http://dx.doi.org/10.1016/j.autcon.2020.103330. http://dx.doi.org/10.1016/j.autcon.2020....
], [115115 S. Yoon, G.-H. Gwon, J.-H. Lee, and H.-J. Jung, "Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles," Struct. Health Monit., vol. 20, no. 4, pp. 1462–1475, 2021, http://dx.doi.org/10.1177/1475921720918675. http://dx.doi.org/10.1177/14759217209186...
], [116116 B. Lei, Y. Ren, N. Wang, L. Huo, and G. Song, "Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method," Struct. Health Monit., vol. 19, no. 6, pp. 1871–1883, 2020, http://dx.doi.org/10.1177/1475921719898862. http://dx.doi.org/10.1177/14759217198988...
], [131131 X. Peng, X. Zhong, C. Zhao, A. Chen, and T. Zhang, "A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning," Constr. Build. Mater., vol. 299, pp. 123896, 2021, http://dx.doi.org/10.1016/j.conbuildmat.2021.123896. http://dx.doi.org/10.1016/j.conbuildmat....
]–[136136 J.-H. Lee, S.-S. Yoon, I.-H. Kim, and H.-J. Jung, “Study on image quality assessment and processing, damage diagnosis of crack for bridge inspection based on unmanned aerial vehicle,” in ACEM18/Struct. 18, Incheon, Korea, 2018, pp. 1–6. [Online]. Available: http://hdl.handle.net/10203/247365 http://hdl.handle.net/10203/247365...
], [143143 J.-W. Kim, S.-B. Kim, J.-C. Park, and J.-W. Nam, “Development of crack detection system with unmanned aerial vehicles and digital image processing,” in 2015 World Congr. Adv. Struct. Eng. Mechanics (ASEM), Incheon, Korea, 2015, pp. 1–11.], [150150 J. Dang and P. Chun, "Mixed training of deep convolutional neural network for bridge deterioration detection with UAV and inspection report sourced images,” in Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. CRC Press, 2021, pp. 308–312.] |
Spalling |
[1111 J. Seo, L. Duque, and J. Wacker, “Glued-laminated timber arch bridge inspection using UAV,” in Comput. Civ. Eng. 2019: Smart Cities, Sustainability, and Resilience, Reston, 2019, pp. 336–342.], [6262 J. Seo, L. Duque, and J. Wacker, "Drone-enabled bridge inspection methodology and application," Autom. Construct., vol. 94, pp. 112–126, 2018, http://dx.doi.org/10.1016/j.autcon.2018.06.006. http://dx.doi.org/10.1016/j.autcon.2018....
]–[6565 J. Seo, L. Duque, and J. P. Wacker, "Field application of UAS-based bridge inspection," Transp. Res. Rec., vol. 2672, no. 12, pp. 72–81, 2018, http://dx.doi.org/10.1177/0361198118780825. http://dx.doi.org/10.1177/03611981187808...
], [6767 L. Duque, “UAV-based bridge inspection and computational simulations,” M.S. thesis, Dept. Civ. Environ. Eng., South Dakota State Univ., Brookings, SD, USA, 2017.], [8181 E. Jeong, J. Seo, and J. Wacker, “Grayscale drone inspection image enhancement framework for advanced bridge defect measurement,” Transp. Res. Rec., vol. 2675, no. 8, pp. 603–612, 2021.] |
[6060 J. J. Lin, A. Ibrahim, S. Sarwade, and M. Golparvar-Fard, "Bridge inspection with aerial robots: Automating the entire pipeline of visual data capture, 3D mapping, defect detection, analysis, and reporting," J. Comput. Civ. Eng., vol. 35, no. 2, pp. 04020064, 2021, http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000954. http://dx.doi.org/10.1061/(ASCE)CP.1943-...
], [6161 W. Wu, M. A. Qurishee, J. Owino, I. Fomunung, M. Onyango, and B. Atolagbe, “Coupling deep learning and UAV for infrastructure condition assessment automation,” in 2018 IEEE Int. Smart Cities Conf. (ISC2), Kansas City, MO, USA, 2018, pp. 1–7.], [105105 L. Yang, B. Li, W. Li, H. Brand, B. Jiang, and J. Xiao, "Concrete defects inspection and 3D mapping using CityFlyer quadrotor robot,” IEEE/CAA J," Autom. Sin., vol. 7, no. 4, pp. 991–1002, 2020, http://dx.doi.org/10.1109/JAS.2020.1003234. http://dx.doi.org/10.1109/JAS.2020.10032...
], [106106 L. Yang, B. Li, W. Li, Z. Liu, G. Yang, and J. Xiao, “A robotic system towards concrete structure spalling and crack database,” in 2017 IEEE Int. Conf. Robot. Biomimetics (ROBIO), Macau, China, 2017, pp. 1276–1281.], [108108 X. Peng, X. Zhong, C. Zhao, Y. F. Chen, and T. Zhang, "The feasibility assessment study of bridge crack width recognition in images based on special inspection UAV," Adv. Civ. Eng., vol. 2020, pp. 1–17, 2020., http://dx.doi.org/10.1155/2020/8811649. http://dx.doi.org/10.1155/2020/8811649...
], [115115 S. Yoon, G.-H. Gwon, J.-H. Lee, and H.-J. Jung, "Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles," Struct. Health Monit., vol. 20, no. 4, pp. 1462–1475, 2021, http://dx.doi.org/10.1177/1475921720918675. http://dx.doi.org/10.1177/14759217209186...
], [132132 H.-J. Jung, J.-H. Lee, S. Yoon, and I.-H. Kim, "Bridge inspection and condition assessment using unmanned aerial vehicles (UAVs): major challenges and solutions from a practical perspective," Smart Struct. Syst., vol. 24, no. 5, pp. 669–681, 2019, http://dx.doi.org/10.12989/sss.2019.24.5.669. http://dx.doi.org/10.12989/sss.2019.24.5...
], [134134 Z. Ma, E. Zhao, G. Granello, and G. Loporcaro, "Drone aided machine-learning tool for post-earthquake bridge damage reconnaissance,” in 17th World Conf. Earthq. Eng. (WCEE), Sendai, Japan, 2020, pp. 1–12. [Online]. Available: https://hdl.handle.net/10092/101461 https://hdl.handle.net/10092/101461...
] |
Efflorescence |
[1010 L. D. Otero, N. Gagliardo, D. Dalli, W.-H. Huang, and P. Cosentino, Proof of Concept for Using Unmanned Aerial Vehicles for High Mast Pole and Bridge Inspections (Tech. Rep. BDV28-TWO-977-02). Tallahassee, FL: Florida Dept. Transp., Res. Center, 2015, http://dx.doi.org/10.13140/RG.2.1.4567.2166. http://dx.doi.org/10.13140/RG.2.1.4567.2...
], [1111 J. Seo, L. Duque, and J. Wacker, “Glued-laminated timber arch bridge inspection using UAV,” in Comput. Civ. Eng. 2019: Smart Cities, Sustainability, and Resilience, Reston, 2019, pp. 336–342.], [4343 J. Wells and B. Lovelace, Improving the Quality of Bridge Inspections Using Unmanned Aircraft Systems (UAS) (Tech. Rep. MN/RC 2018-26). St. Paul, MN: Minnesota Dept. Transp., 2018. [Online]. Available: https://trid.trb.org/view/1539868 https://trid.trb.org/view/1539868...
], [4545 M. N. Gillins, “Unmanned aircraft systems for bridge inspection: testing and developing end-to-end operational workflow,” M.S. thesis, Oregon State Univ., Corvallis, OR, USA, 2016. [Online]. Available: http://hdl.handle.net/1957/60001 http://hdl.handle.net/1957/60001...
], [5454 S. Dorafshan, R. J. Thomas, C. Coopmans, and M. Maguire, "A practitioner’s guide to small unmanned aerial systems for bridge inspection," Infrastruct., vol. 4, no. 4, pp. 72, 2019, http://dx.doi.org/10.3390/infrastructures4040072. http://dx.doi.org/10.3390/infrastructure...
], [5858 M. N. Gillins, D. T. Gillins, and C. Parrish, “Cost-effective bridge safety inspections using unmanned aircraft systems (UAS),” in Geotech. Struct. Eng. Congr., Phoenix, AZ, USA, 2016, pp. 1931–1940.], [6262 J. Seo, L. Duque, and J. Wacker, "Drone-enabled bridge inspection methodology and application," Autom. Construct., vol. 94, pp. 112–126, 2018, http://dx.doi.org/10.1016/j.autcon.2018.06.006. http://dx.doi.org/10.1016/j.autcon.2018....
]–[6565 J. Seo, L. Duque, and J. P. Wacker, "Field application of UAS-based bridge inspection," Transp. Res. Rec., vol. 2672, no. 12, pp. 72–81, 2018, http://dx.doi.org/10.1177/0361198118780825. http://dx.doi.org/10.1177/03611981187808...
], [6767 L. Duque, “UAV-based bridge inspection and computational simulations,” M.S. thesis, Dept. Civ. Environ. Eng., South Dakota State Univ., Brookings, SD, USA, 2017.], [8181 E. Jeong, J. Seo, and J. Wacker, “Grayscale drone inspection image enhancement framework for advanced bridge defect measurement,” Transp. Res. Rec., vol. 2675, no. 8, pp. 603–612, 2021.] |
[6060 J. J. Lin, A. Ibrahim, S. Sarwade, and M. Golparvar-Fard, "Bridge inspection with aerial robots: Automating the entire pipeline of visual data capture, 3D mapping, defect detection, analysis, and reporting," J. Comput. Civ. Eng., vol. 35, no. 2, pp. 04020064, 2021, http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000954. http://dx.doi.org/10.1061/(ASCE)CP.1943-...
], [132132 H.-J. Jung, J.-H. Lee, S. Yoon, and I.-H. Kim, "Bridge inspection and condition assessment using unmanned aerial vehicles (UAVs): major challenges and solutions from a practical perspective," Smart Struct. Syst., vol. 24, no. 5, pp. 669–681, 2019, http://dx.doi.org/10.12989/sss.2019.24.5.669. http://dx.doi.org/10.12989/sss.2019.24.5...
] |
Exposed rebar |
[1111 J. Seo, L. Duque, and J. Wacker, “Glued-laminated timber arch bridge inspection using UAV,” in Comput. Civ. Eng. 2019: Smart Cities, Sustainability, and Resilience, Reston, 2019, pp. 336–342.], [6262 J. Seo, L. Duque, and J. Wacker, "Drone-enabled bridge inspection methodology and application," Autom. Construct., vol. 94, pp. 112–126, 2018, http://dx.doi.org/10.1016/j.autcon.2018.06.006. http://dx.doi.org/10.1016/j.autcon.2018....
], [6464 J. Seo, J. P. Wacker, and L. Duque, Evaluating the Use of Drones for Timber Bridge Inspection (Tech. Rep.). Madison, WI: US Dept. Agriculture, Forest Service, Forest Products Lab., 2018.], [6565 J. Seo, L. Duque, and J. P. Wacker, "Field application of UAS-based bridge inspection," Transp. Res. Rec., vol. 2672, no. 12, pp. 72–81, 2018, http://dx.doi.org/10.1177/0361198118780825. http://dx.doi.org/10.1177/03611981187808...
], [6767 L. Duque, “UAV-based bridge inspection and computational simulations,” M.S. thesis, Dept. Civ. Environ. Eng., South Dakota State Univ., Brookings, SD, USA, 2017.], [7070 E. Ciampa, L. D. Vito, and M. R. Pecce, "Practical issues on the use of drones for construction inspections," J. Phys. Conf. Ser., vol. 1249, no. 1, pp. 012016, May 2019, http://dx.doi.org/10.1088/1742-6596/1249/1/012016. http://dx.doi.org/10.1088/1742-6596/1249...
] |
[6060 J. J. Lin, A. Ibrahim, S. Sarwade, and M. Golparvar-Fard, "Bridge inspection with aerial robots: Automating the entire pipeline of visual data capture, 3D mapping, defect detection, analysis, and reporting," J. Comput. Civ. Eng., vol. 35, no. 2, pp. 04020064, 2021, http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000954. http://dx.doi.org/10.1061/(ASCE)CP.1943-...
], [108108 X. Peng, X. Zhong, C. Zhao, Y. F. Chen, and T. Zhang, "The feasibility assessment study of bridge crack width recognition in images based on special inspection UAV," Adv. Civ. Eng., vol. 2020, pp. 1–17, 2020., http://dx.doi.org/10.1155/2020/8811649. http://dx.doi.org/10.1155/2020/8811649...
], [115115 S. Yoon, G.-H. Gwon, J.-H. Lee, and H.-J. Jung, "Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles," Struct. Health Monit., vol. 20, no. 4, pp. 1462–1475, 2021, http://dx.doi.org/10.1177/1475921720918675. http://dx.doi.org/10.1177/14759217209186...
], [150150 J. Dang and P. Chun, "Mixed training of deep convolutional neural network for bridge deterioration detection with UAV and inspection report sourced images,” in Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. CRC Press, 2021, pp. 308–312.] |
Generic/others |
[1010 L. D. Otero, N. Gagliardo, D. Dalli, W.-H. Huang, and P. Cosentino, Proof of Concept for Using Unmanned Aerial Vehicles for High Mast Pole and Bridge Inspections (Tech. Rep. BDV28-TWO-977-02). Tallahassee, FL: Florida Dept. Transp., Res. Center, 2015, http://dx.doi.org/10.13140/RG.2.1.4567.2166. http://dx.doi.org/10.13140/RG.2.1.4567.2...
], [1111 J. Seo, L. Duque, and J. Wacker, “Glued-laminated timber arch bridge inspection using UAV,” in Comput. Civ. Eng. 2019: Smart Cities, Sustainability, and Resilience, Reston, 2019, pp. 336–342.], [5454 S. Dorafshan, R. J. Thomas, C. Coopmans, and M. Maguire, "A practitioner’s guide to small unmanned aerial systems for bridge inspection," Infrastruct., vol. 4, no. 4, pp. 72, 2019, http://dx.doi.org/10.3390/infrastructures4040072. http://dx.doi.org/10.3390/infrastructure...
], [6262 J. Seo, L. Duque, and J. Wacker, "Drone-enabled bridge inspection methodology and application," Autom. Construct., vol. 94, pp. 112–126, 2018, http://dx.doi.org/10.1016/j.autcon.2018.06.006. http://dx.doi.org/10.1016/j.autcon.2018....
]–[6565 J. Seo, L. Duque, and J. P. Wacker, "Field application of UAS-based bridge inspection," Transp. Res. Rec., vol. 2672, no. 12, pp. 72–81, 2018, http://dx.doi.org/10.1177/0361198118780825. http://dx.doi.org/10.1177/03611981187808...
], [6767 L. Duque, “UAV-based bridge inspection and computational simulations,” M.S. thesis, Dept. Civ. Environ. Eng., South Dakota State Univ., Brookings, SD, USA, 2017.], [8080 J. Seo, E. Jeong, and J. Wacker, “Visual bridge damage measurement using drone-captured image quality optimization,” in Eur. Workshop Struct. Health Monit., P. Rizzo and A. Milazzo, Eds., Cham: Springer International Publishing, 2021, pp. 503–513, http://dx.doi.org/10.1007/978-3-030-64908-1_47. http://dx.doi.org/10.1007/978-3-030-6490...
], [8181 E. Jeong, J. Seo, and J. Wacker, “Grayscale drone inspection image enhancement framework for advanced bridge defect measurement,” Transp. Res. Rec., vol. 2675, no. 8, pp. 603–612, 2021.] |
[6060 J. J. Lin, A. Ibrahim, S. Sarwade, and M. Golparvar-Fard, "Bridge inspection with aerial robots: Automating the entire pipeline of visual data capture, 3D mapping, defect detection, analysis, and reporting," J. Comput. Civ. Eng., vol. 35, no. 2, pp. 04020064, 2021, http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000954. http://dx.doi.org/10.1061/(ASCE)CP.1943-...
], [108108 X. Peng, X. Zhong, C. Zhao, Y. F. Chen, and T. Zhang, "The feasibility assessment study of bridge crack width recognition in images based on special inspection UAV," Adv. Civ. Eng., vol. 2020, pp. 1–17, 2020., http://dx.doi.org/10.1155/2020/8811649. http://dx.doi.org/10.1155/2020/8811649...
], [132132 H.-J. Jung, J.-H. Lee, S. Yoon, and I.-H. Kim, "Bridge inspection and condition assessment using unmanned aerial vehicles (UAVs): major challenges and solutions from a practical perspective," Smart Struct. Syst., vol. 24, no. 5, pp. 669–681, 2019, http://dx.doi.org/10.12989/sss.2019.24.5.669. http://dx.doi.org/10.12989/sss.2019.24.5...
], [150150 J. Dang and P. Chun, "Mixed training of deep convolutional neural network for bridge deterioration detection with UAV and inspection report sourced images,” in Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations. CRC Press, 2021, pp. 308–312.] |
Steel |
Corrosion |
[1010 L. D. Otero, N. Gagliardo, D. Dalli, W.-H. Huang, and P. Cosentino, Proof of Concept for Using Unmanned Aerial Vehicles for High Mast Pole and Bridge Inspections (Tech. Rep. BDV28-TWO-977-02). Tallahassee, FL: Florida Dept. Transp., Res. Center, 2015, http://dx.doi.org/10.13140/RG.2.1.4567.2166. http://dx.doi.org/10.13140/RG.2.1.4567.2...
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Crack |
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Paint failure |
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