Automatic Pavement Crack Detection Based on Octave Convolution Neural Network with Hierarchical Feature Learning  

作　　者：Minggang Xu Chong Li Ying Chen Wu Wei 

机构地区：[1]Department of Civil Engineering of Nanjing Technical Vocational College,Nanjing 210019,China [2]School of Artificial Intelligence and Advanced Computing(AIAC),Xi’an Jiaotong-Liverpool University,Suzhou 215400,China [3]Department of Electronic Engineering,Shantou University,Shantou 515063,China [4]School of Automation Science and Engineering,South China University of Technology,Guangzhou 510006,China

出　　处：《Journal of Beijing Institute of Technology》2024年第5期422-435,共14页北京理工大学学报（英文版）

基　　金：supported in part by the National Natural Foundation of China(No.62176147)。

摘　　要：Automatic pavement crack detection plays an important role in ensuring road safety.In images of cracks,information about the cracks can be conveyed through high-frequency and low-fre-quency signals that focus on fine details and global structures,respectively.The output features obtained from different convolutional layers can be combined to represent information about both high-frequency and low-frequency signals.In this paper,we propose an encoder-decoder framework called octave hierarchical network(Octave-H),which is based on the U-Network(U-Net)architec-ture and utilizes an octave convolutional neural network and a hierarchical feature learning module for performing crack detection.The proposed octave convolution is capable of extracting multi-fre-quency feature maps,capturing both fine details and global cracks.We propose a hierarchical feature learning module that merges multi-frequency-scale feature maps with different levels(high and low)of octave convolutional layers.To verify the superiority of the proposed Octave-H,we employed the CrackForest dataset(CFD)and AigleRN databases to evaluate this method.The experimental results demonstrate that Octave-H outperforms other algorithms with satisfactory performance.

关 键 词：automated pavement crack detection octave convolutional network hierarchical feature multiscale MULTIFREQUENCY 

分 类 号：U418.6[交通运输工程—道路与铁道工程] TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]