Research on Bridge Alignment Extraction and Measurement Method Based on UAV Vision

Journal: Architecture Engineering and Science DOI: 10.32629/aes.v7i1.5035

Jing Cai, Lei Zhang, Zhiqiang Xu

Xinjiang Municipal Rail Transit Co., Ltd., Wulumuqi 830000, Xinjiang, China

Abstract

Bridge alignment measurement during construction is an important means to ensure construction quality and structural safety. Although traditional contact-based measurement methods provide high accuracy, they suffer from low efficiency, high operational risk, and poor operability. UAV vision-based measurement, as a non-contact technique, offers advantages such as simple operation, high safety, and rapid data acquisition; however, it still faces challenges in measurement accuracy, methodological completeness, and adaptability to on-site conditions. Therefore, in-depth research on UAV vision-based bridge alignment extraction and measurement has significant theoretical value and promising engineering application prospects.

Keywords

UAV vision, bridge construction, alignment measurement, sub-pixel edge detection

References

[1]Morando L, Recchiuto C T, Calla J, et al. Thermal and visual tracking of photovoltaic plants for autonomous UAV inspection[J]. Drones, 2022, 6(11): 347.
[2]Zhang Y, Chen S, Wang W, et al. Pyramid attention based early forest fire detection using UAV imagery[C]//Journal of Physics: Conference Series. IOP Publishing, 2022, 2363(1): 012021.
[3]Carvajal-Ramírez F, Serrano J M P R, Agüera-Vega F, et al. A comparative analysis of phytovolume estimation methods based on UAV-photogrammetry and multispectral imagery in a mediterranean forest[J]. Remote Sensing, 2019, 11(21): 2579.
[4]Skondras A, Karachaliou E, Tavantzis I, et al. UAV Mapping and 3D Modeling as a Tool for Promotion and Management of the Urban Space[J]. Drones, 2022, 6(5): 115.
[5]Yoon H, Shin J, Spencer Jr B F. Structural displacement measurement using an unmanned aerial system[J]. Computer‐Aided Civil and Infrastructure Engineering, 2018, 33(3): 183-192.
[6]Zhang X, Zeinali Y, Story B A, et al. Measurement of three-dimensional structural displacement using a hybrid inertial vision-based system[J]. Sensors, 2019, 19(19): 4083.
[7]Hoskere V, Park J W, Yoon H, et al. Vision-based modal survey of civil infrastructure using unmanned aerial vehicles[J]. Journal of Structural Engineering, 2019, 145(7): 04019062.
[8]Ri S, Ye J, Toyama N, et al. Drone-based displacement measurement of infrastructures utilizing phase information[J]. Nature Communications, 2024, 15(1): 395.
[9]Weng Y, Shan J, Lu Z, et al. Homography‐based structural displacement measurement for large structures using unmanned aerial vehicles[J]. Computer‐Aided Civil and Infrastructure Engineering, 2021, 36(9): 1114-1128.
[10]Ribeiro D, Santos R, Cabral R, et al. Non-contact structural displacement measurement using Unmanned Aerial Vehicles and video-based systems[J]. Mechanical Systems and Signal Processing, 2021, 160: 107869.
[11]Chen G, Liang Q, Zhong W, et al. Homography-based measurement of bridge vibration using UAV and DIC method[J]. Measurement, 2021, 170: 108683.
[12]Sun J, Peng B, Wang C C, et al. Building displacement measurement and analysis based on UAV images[J]. Automation in Construction, 2022, 140: 104367.
[13]Bolognini M, Izzo G, Marchisotti D, et al. Vision-based modal analysis of built environment structures with multiple drones[J]. Automation in Construction, 2022, 143: 104550.
[14]Erdenebat D, Waldmann D. Application of the DAD method for damage localisation on an existing bridge structure using close-range UAV photogrammetry[J]. Engineering Structures, 2020, 218: 110727.
[15]Zhang C, Zou Y, Wang F, et al. Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?[J]. Construction and Building Materials, 2022, 347: 128543.
[16]Wells J, Lovelace B. Unmanned aircraft system bridge inspection demonstration project phase II final report[R]. Minnesota. Dept. of Transportation. Research Services & Library, 2017.
[17]Hernandez I, Fields T, Kevern J. Overcoming the challenges of using unmanned aircraft for bridge inspections[C]//AIAA Atmospheric Flight Mechanics Conference. 2016: 3396.
[18]Gillins D T, Parrish C, Gillins M N, et al. Eyes in the sky: Bridge inspections with unmanned aerial vehicles[R]. 2018.
[19]Wells J, Lovelace B. Improving the quality of bridge inspections using unmanned aircraft systems (UAS)[R]. Minnesota. Department of Transportation, 2018.

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