@inproceedings{a0cb3e4059324dcda1baf984f43b42af,
title = "Research on Visual Detection Methods and Development Trends of Surface Defects of Urban Tunnels",
abstract = "The detection of surface defects in urban tunnels is a key focus of safety operations and maintenance. Structural surface defect detection has gone through three key phases: manual visual inspection phase, manual instrumental inspection phase, and image visual perception phase, with most current studies focusing on the third phase. This paper analyses the current situation and problems of existing surface defects detection technologies at two levels: Traditional image processing and intelligent machine vision perception. Correspondingly, future trends in surface defect detection techniques for urban tunnels are discussed, which provide solutions for the development of intelligent perception of the structural safety status of urban tunnels.",
keywords = "Computer Vision, Convolutional Neural Networks, Deep Learning, Defect detection, Image Processing",
author = "Geng Xu and Mingxin Gao and Feng Liu and Yang Liu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Prognostics and Health Management, ICPHM 2023 ; Conference date: 05-06-2023 Through 07-06-2023",
year = "2023",
doi = "10.1109/ICPHM57936.2023.10194009",
language = "英语",
series = "2023 IEEE International Conference on Prognostics and Health Management, ICPHM 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "291--295",
booktitle = "2023 IEEE International Conference on Prognostics and Health Management, ICPHM 2023",
address = "美国",
}