Deep learning-based YOLO for crack segmentation and measurement in metro tunnels

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

Young‐Jin Cha, Wooram Choi, Oral Büyüköztürk · Computer-Aided Civil and Infrastructure Engineering · 2017 · 3.1K citations · Full text

Computing, Civil Engineering, Computer Science +17

Automatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network

Xincong Yang, Heng Li, Yantao Yu et al. · Computer-Aided Civil and Infrastructure Engineering · 2018 · 817 citations

Computing, Civil Engineering, Computer Science +17

Computer vision-based concrete crack detection using U-net fully convolutional networks

Zhenqing Liu, Yiwen Cao, Yize Wang et al. · Automation in Construction · 2019 · 810 citations

Computing, Civil Engineering, Computer Science +14

Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

Juan Manuel Dávila Delgado, Lukumon O. Oyedele, Anuoluwapo Ajayi et al. · Journal of Building Engineering · 2019 · 555 citations · Full text

Engineering, Construction Management, Automation +12

Deep learning based image recognition for crack and leakage defects of metro shield tunnel

Hongwei Huang, Qing-tong Li, Dongming Zhang · Tunnelling and Underground Space Technology · 2018 · 481 citations

Computing, Civil Engineering, Computer Science +17