Autonomous concrete crack detection using deep fully convolutional neural network

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Video comprehension-based approach for seismic damage recognition of freestanding non-structural components

Jiang, Y., Wang, J., Guan, X., & Dai, K. (2024) · Engineering Structures · doi:10.1016/j.engstruct.2024.118034 · Cited by 12

Automatic tiny crack positioning and width measurement with parallel laser line‐camera system

Li, C., & Su, R. K. L. (2025) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.13420 · Cited by 12

Dual-Kernel-Based Aggregated Residual Network for Surface Defect Inspection in Injection Molding Processes

Lee, H., & Ryu, K. (2020) · Applied Sciences · doi:10.3390/app10228171 · Cited by 12

Crack identification for bridge condition monitoring using deep convolutional networks trained with a feedback-update strategy

Tong, T., Lin, J., Hua, J., Gao, F., & Zhang, H. (2021) · Maintenance Reliability and Condition Monitoring · doi:10.21595/mrcm.2021.22032 · Cited by 12

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network

Islam, M. M. M., & Kim, J.-M. (2019) · Sensors · doi:10.3390/s19194251 · Cited by 142

Autonomous Concrete Crack Semantic Segmentation Using Deep Fully Convolutional Encoder–Decoder Network in Concrete Structures Inspection

Pu, R., Ren, G., Li, H., Jiang, W., Zhang, J., & Qin, H. (2022) · Buildings · doi:10.3390/buildings12112019 · Cited by 24

Crack Detection in Buildings Using Convolutional Neural NetworkPreprint

Soni, A. N. (2019) · SSRN Electronic Journal · Cited by 13

Image-based concrete crack detection in tunnels using deep fully convolutional networks

Ren, Y., Huang, J., Hong, Z., Lu, W., Yin, J., Zou, L., & Shen, X. (2019) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2019.117367 · Cited by 522

Research on automatic detection and analysis of concrete cracks based on deep convolutional neural network architecture

Li, J., Wang, B., An, P., Zhao, J., & Luo, Y. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251375209 · Cited by 3