Opto-Electronic Engineering, Volume. 51, Issue 11, 240171-1(2024)

Improved YOLOv8 algorithm for detecting cracks in roadbed slopes

Xiaofu Niu1... He Huang1,2, Hongmin Zhang1,* and Tiefeng Xu1 |Show fewer author(s)
Author Affiliations
  • 1School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
  • 2China Merchants Chongqing Transportation Research and Design Institute Limited, Chongqing 400067, China
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    References(37)

    [1] T T Phi, P H S W Kulatilake, M L Y Ankah et al. Rock mass statistical homogeneity investigation along a highway corridor in Vietnam. Eng Geol, 289, 106176(2021).

    [2] K Yan, Z H Zhang. Automated asphalt highway pavement crack detection based on deformable single shot multi-box detector under a complex environment. IEEE Access, 9, 150925-150938(2021).

    [3] X Zhang. Highway crack material detection algorithm based on digital image processing technology. J Phys Conf Ser, 2425, 012067(2023).

    [4] X X Weng, Y C Huang, Y N Li et al. Unsupervised domain adaptation for crack detection. Autom Constr, 153, 104939(2023).

    [5] Y T Yang, G Mei. Deep transfer learning approach for identifying slope surface cracks. Appl Sci, 11, 11193(2021).

    [6] Z K Huang, D D Chang, X F Yang et al. A deep learning-based approach for crack damage detection using strain field. Eng Fract Mech, 293, 109703(2023).

    [10] L X Gong, X Huang, Y K Chao et al. Correction to: an enhanced SSD with feature cross-reinforcement for small-object detection. Appl Intell, 53, 21483-21484(2023).

    [11] X Liu, S T Mo, J Zhang et al. PeleeNet_yolov3 surface crack identification with lightweight model. J Harbin Inst Technol, 55, 81-89(2023).

    [12] Z Zhou, J J Zhang, S P Lu. Tunnel lining crack detection algorithm based on improved YOLOv4. J China Railway Soc, 45, 162-170(2023).

    [13] Q F Hu, P Wang, S M Li et al. Research on intelligent crack detection in a deep-cut canal slope in the Chinese South–North water transfer project. Remote Sens, 14, 5384(2022).

    [14] X Chen, D L Peng, Y Gu. Real-time object detection for UAV images based on improved YOLOv5s. Opto-Electron Eng, 49, 210372(2022).

    [15] C Zhao, X Shu, X Yan et al. RDD-YOLO: a modified YOLO for detection of steel surface defects. Measurement, 214, 112776(2023).

    [16] C S Ni, L Li, W T Luo et al. Disease detection of asphalt pavement based on improved YOLOv7. Comput Eng Appl, 59, 305-316(2023).

    [17] L M Liang, P W Long, B H Lu et al. Improvement of GBS-YOLOv7t for steel surface defect detection. Opto-Electron Eng, 51, 240044(2024).

    [18] X Q Xu, Q Li, S E Li et al. Crack width recognition of tunnel tube sheet based on YOLOv8 algorithm and 3D imaging. Buildings, 14, 531(2024).

    [19] F M Talaat, H Zaineldin. An improved fire detection approach based on YOLO-v8 for smart cities. Neural Comput Appl, 35, 20939-20954(2023).

    [20] D A Beyene, D Q Tran, M B Maru et al. Unsupervised domain adaptation-based crack segmentation using transformer network. J Build Eng, 80, 107889(2023).

    [23] J Hu, L Shen, S Albanie et al. Squeeze-and-excitation networks. IEEE Trans Pattern Anal Mach Intell, 42, 2011-2023(2020).

    [33] Y G Shi, S K Li, Z Y Liu et al. MTP-YOLO: you only look once based maritime tiny person detector for emergency rescue. J Mar Sci Eng, 12, 669(2024).

    [36] Y F Zhang, W Q Ren, Z Zhang et al. Focal and efficient IOU loss for accurate bounding box regression. Neurocomputing, 506, 146-157(2022).

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    Xiaofu Niu, He Huang, Hongmin Zhang, Tiefeng Xu. Improved YOLOv8 algorithm for detecting cracks in roadbed slopes[J]. Opto-Electronic Engineering, 2024, 51(11): 240171-1

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    Paper Information

    Category: Article

    Received: Jul. 20, 2024

    Accepted: Oct. 24, 2024

    Published Online: Jan. 24, 2025

    The Author Email: Zhang Hongmin (张红民)

    DOI:10.12086/oee.2024.240171

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