350
Views
2
CrossRef citations to date
0
Altmetric
Articles

Real-time tunnel lining crack detection based on an improved You Only Look Once version X algorithm

, , &
Pages 181-195 | Received 06 Jun 2022, Accepted 17 Jan 2023, Published online: 02 Feb 2023

References

  • Bochkovskiy, A., C. Y. Wang, and H. Y. M. Liao. 2020. “Yolov4: Optimal Speed and Accuracy of Object Detection.” arXiv preprint arXiv:2004: 10934.
  • Chiu, Y. C., C. H. Lee, and T. T. Wang. 2017. “Lining Crack Evolution of an Operational Tunnel Influenced by Slope Instability.” Tunnelling and Underground Space Technology 65: 167–178. doi:10.1016/j.tust.2017.03.004.
  • Deng, J., Y. Lu, and V. C. S. Lee. 2021. “Imaging-Based Crack Detection on Concrete Surfaces Using You Only Look Once Network.” Structural Health Monitoring 20 (2): 484–499. doi:10.1177/1475921720938486.
  • Fu, C. Y., W. Liu, A. Ranga, A. Tyagi, and A. C. Berg. 2017. “Dssd: Deconvolutional Single Shot Detector.” arXiv preprint arXiv:1701: 06659.
  • Ge, Z., S. Liu, F. Wang, Z. Li, and J. Sun. 2021. “Yolox: Exceeding Yolo Series in 2021.” arXiv Preprint arXiv:2107: 08430.
  • Gehri, N., J. Mata-Falcón, and W. Kaufmann. 2020. “Automated Crack Detection and Measurement Based on Digital Image Correlation.” Construction and Building Materials 256: 119383. doi:10.1016/j.conbuildmat.2020.119383.
  • Girshick, R. 2015. “Fast r-cnn.” Proceedings of the IEEE international conference on computer vision, December 7-13, 2015, Santiago, Chile, 1440-1448.
  • Girshick, R., J. Donahue, T. Darrell, and J. Malik. 2014. “Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.” Proceedings of the IEEE conference on computer vision and pattern recognition, June 23-28, 2014, Columbus, OH, USA, 580-587.
  • Hacıefendioğlu, K., and H. B. Başağa. 2022. “Concrete Road Crack Detection Using Deep Learning-Based Faster R-CNN Method.” Iranian Journal of Science and Technology, Transactions of Civil Engineering 46 (2): 1621–1633. doi:10.1007/s40996-021-00671-2.
  • Howard, A., M. Sandler, G. Chu, L. C. Chen, B. Chen, M. Tan, W. Wang, et al. 2019. “Searching for mobilenetv3.” Proceedings of the IEEE/CVF international conference on computer vision, October 27-November 2, 2019, Seoul, Korea (South), 1314-1324.
  • Howard, A. G., M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam. 2017. “Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications.” arXiv preprint arXiv:1704: 04861.
  • Hu, J., L. Shen, and G. Sun. 2018. ““Squeeze-and-Excitation Networks.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.” June, 18–22. 2018, Salt Lake City, USA, 7132-7141.
  • Hu, Y., Y. Wang, T. Zhao, and K. K. Phoon. 2020. “Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6 (2): 04020019. doi: 10.1016/j.aei.2017.03.003.
  • Huang, H., Y. Sun, Y. Xue, and F. Wang. 2017. “Inspection Equipment Study for Subway Tunnel Defects by Grey-Scale Image Processing.” Advanced Engineering Informatics 32: 188–201. doi:10.1016/j.aei.2017.03.003.
  • Kainthura, P., and N. Sharma. 2022. “Machine Learning Driven Landslide Susceptibility Prediction for the Uttarkashi Region of Uttarakhand in India.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16 (3): 570–583. doi:10.1080/17499518.2021.1957484.
  • Lai, J., S. He, J. Qiu, J. Chen, L. Wang, K. Wang, and J. Wang. 2017. “Characteristics of Seismic Disasters and Aseismic Measures of Tunnels in Wenchuan Earthquake.” Environmental Earth Sciences 76 (2): 1–19. doi: 10.1007/s12665-017-6405-3.
  • Lei, M., L. Liu, C. Shi, Y. Tan, Y. Lin, and W. Wang. 2021. “A Novel Tunnel-Lining Crack Recognition System Based on Digital Image Technology.” Tunnelling and Underground Space Technology 108: 103724. doi:10.1016/j.tust.2020.103724.
  • Li, L., Y. Wang, Z. Cao, and X. Chu. 2013. “Risk de-Aggregation and System Reliability Analysis of Slope Stability Using Representative Slip Surfaces.” Computers and Geotechnics 53: 95–105. doi:10.1016/j.compgeo.2013.05.004.
  • Li, D., Q. Xie, X. Gong, Z. Yu, J. Xu, Y. Sun, and J. Wang. 2021. “Automatic Defect Detection of Metro Tunnel Surfaces Using a Vision-Based Inspection System.” Advanced Engineering Informatics 47: 101206. doi:10.1016/j.aei.2020.101206.
  • Li, Z., and F. Zhou. 2017. “FSSD: Feature Fusion Single Shot Multibox Detector.” arXiv preprint arXiv:1712: 00960.
  • Liao, J., Y. Yue, D. Zhang, W. Tu, R. Cao, Q. Zou, and Q. Li. 2022. “Automatic Tunnel Crack Inspection Using an Efficient Mobile Imaging Module and a Lightweight CNN.” IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2021.3138428.
  • Liu, W., D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, and A. C. Berg. 2016. “Ssd: Single Shot Multibox Detector.” European conference on computer vision, October 10-16, 2016, Amsterdam, Netherlands, 21-37.
  • Loshchilov, I., and F. Hutter. 2016. “Sgdr: Stochastic Gradient Descent with Warm Restarts.” arXiv preprint arXiv:1608: 03983.
  • Maraveas, C., and A. A. Vrakas. 2014. “Design of Concrete Tunnel Linings for Fire Safety.” Structural Engineering International 24 (3): 319–329. doi:10.2749/101686614X13830790993041.
  • Phoon, K. K., and W. Zhang. 2022. “Future of Machine Learning in Geotechnics.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–16.
  • Providakis, S., C. D. Rogers, and D. N. Chapman. 2022. “3D Spatiotemporal Risk Assessment Analysis of the Tunnelling-Induced Settlement in an Urban Area Using Analytical Hierarchy Process and BIM.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 16 (2): 251–266. doi:10.1080/17499518.2021.1952607.
  • Qiao, W., Y. Zhao, Y. Xu, Y. Lei, Y. Wang, S. Yu, and H. Li. 2021. “Deep Learning-Based Pixel-Level Rock Fragment Recognition During Tunnel Excavation Using Instance Segmentation Model.” Tunnelling and Underground Space Technology 115: 104072. doi:10.1016/j.tust.2021.104072.
  • Qu, Z., L. Bai, S. An, F. Ju, and L. Liu. 2016. “Lining Seam Elimination Algorithm and Surface Crack Detection in Concrete Tunnel Lining.” Journal of Electronic Imaging 25 (6): 063004. doi:10.1117/1.JEI.25.6.063004.
  • Redmon, J., and A. Farhadi. 2017. ““YOLO9000: Better, Faster, Stronger.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.” July, 21–26. 2017, Hawaii, USA, 7263-7271.
  • Redmon, J., and A. Farhadi. 2018. “Yolov3: An Incremental Improvement.” arXiv preprint arXiv:1804: 02767.
  • Ren, S., K. He, R. Girshick, and J. Sun. 2017. “Faster r-cnn: Towards Real-Time Object Detection with Region Proposal Networks.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (6): 1137–1149. doi:10.1109/TPAMI.2016.2577031.
  • Rezatofighi, H., N. Tsoi, J. Gwak, A. Sadeghian, I. Reid, and S. Savarese. 2019. ““Generalized Intersection Over Union: A Metric and a Loss for Bounding box Regression.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.” June, 16–20. 2019, Long Beach, USA, 658-666.
  • Sandler, M., A. Howard, M. Zhu, A. Zhmoginov, and L. C. Chen. 2018. ““Mobilenetv2: Inverted Residuals and Linear Bottlenecks.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.” June, 18–22. 2018, Salt Lake City, USA, 4510-4520.
  • Shao, C., Y. Chen, F. Xu, and S. Wang. 2019. “A Kind of Pavement Crack Detection Method Based on Digital Image Processing.” 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), December 20-22, 2019, Chengdu, China, 1: 397-401.
  • Stent, S., R. Gherardi, B. Stenger, K. Soga, and R. Cipolla. 2016. “Visual Change Detection on Tunnel Linings.” Machine Vision and Applications 27 (3): 319–330. doi:10.1007/s00138-014-0648-8.
  • Wang, P., S. Wang, and A. Jierula. 2021. “Automatic Identification and Location of Tunnel Lining Cracks.” Advances in Civil Engineering 2021, doi:10.1155/2021/8846442.
  • Wang, Q., B. Wu, P. Zhu, P. Li, W. Zuo, and Q. Hu. 2020. “ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks,” 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 14-19, 2020, Seattle, USA, 11531-11539.
  • Wang, Y., T. Zhao, and Z. Cao. 2015. “Site-specific Probability Distribution of Geotechnical Properties.” Computers and Geotechnics 70: 159–168. doi:10.1016/j.compgeo.2015.08.002.
  • Wang, Y., L. Zhu, M. Shi, E. Fang, and L. Yang. 2018. “Visual Detection Technology of Tunnel Cracks Based on Local Image Texture Calculation. In Chinese.” Journal of The China Railway Society 40 (2): 82–90. doi: 10.3969/j.issn.1001-8360.2018.02.012.
  • Wu, R., Y. Fujita, and K. Soga. 2020. “Integrating Domain Knowledge with Deep Learning Models: An Interpretable AI System for Automatic Work Progress Identification of NATM Tunnels.” Tunnelling and Underground Space Technology 105: 103558. doi:10.1016/j.tust.2020.103558.
  • Wu, L., J. T. Zhou, H. Zhang, S. R. Wang, T. Ma, H. Yan, and S. H. Li. 2022. “Time Series Analysis and Gated Recurrent Neural Network Model for Predicting Landslide Displacements.” Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–14. doi: 10.1080/17499518.2022.2138918.
  • Xue, Y., X. Cai, M. Shadabfar, H. Shao, and S. Zhang. 2020. “Deep Learning-Based Automatic Recognition of Water Leakage Area in Shield Tunnel Lining.” Tunnelling and Underground Space Technology 104: 103524. doi:10.1016/j.tust.2020.103524.
  • Yu, J., Y. Jiang, Z. Wang, Z. Cao, and T. Huang. 2016. “Unitbox: An Advanced Object Detection Network.” Proceedings of the 24th ACM international conference on multimedia, October 15-19, 2016, Amsterdam, The Netherlands, 516-520.
  • Yuan, W., and D. Xue. 2017. “A Survey of Tunnel Lining Crack Detection Algorithms Based on Machine Vision. In Chinese.” Chinese Journal of Scientific Instrument 38 (12): 3100–3111.
  • Zeng, L., L. Y. Xiao, J. H. Zhang, and Q. F. Gao. 2020. “Effect of the Characteristics of Surface Cracks on the Transient Saturated Zones in Colluvial Soil Slopes During Rainfall.” Bulletin of Engineering Geology and the Environment 79 (2): 699–709. doi:10.1007/s10064-019-01584-1.
  • Zhang, J., L. Dai, J. Zheng, and H. Wu. 2016a. “Reflective Crack Propagation and Control in Asphalt Pavement Widening.” Journal of Testing and Evaluation 44 (2): 838–846. https://doi.org/10.1520/JTE20150220.
  • Zhang, L., F. Yang, Y. D. Zhang, and Y. J. Zhu. 2016b. “Road Crack Detection Using Deep Convolutional Neural Network.” 2016 IEEE international conference on image processing (ICIP), September 25-28, 2016, Phoenix, Arizona, USA, 3708-3712.
  • Zhou, Z., J. Zhang, and C. Gong. 2022. “Automatic Detection Method of Tunnel Lining Multi-Defects via an Enhanced You Only Look Once Network.” Computer-Aided Civil and Infrastructure Engineering 37 (6): 762–780. doi:10.1111/mice.12836.
  • Zhou, Z., J. Zhang, C. Gong, and W. Wu. 2023. “Automatic Tunnel Lining Crack Detection via Deep Learning with Generative Adversarial Network-Based Data Augmentation.” Underground Space 9: 140–154. doi:10.1016/j.undsp.2022.07.003.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.