摘要
沥青路面裂缝已成为浙江省内公路及城市道路的最主要病害。针对沥青路面裂缝检测速度慢、效率低、复现性差的问题,文章主要从卷积神经网络的相关概念出发,具体分析卷积神经网络在沥青路面裂缝自动化检测中的应用,探究深度学习在道路裂缝检测中的应用前景。
Asphalt pavement crack becomes the main disease of highway and urban road in Zhejiang Province.Because of slow speed,low efficiency and poor reproducibility of asphalt pavement crack detection,this paper mainly analyzes the application of Convolutional Neural Network in asphalt pavement crack automatic detection from the basic concepts.In addition,this paper explores the application prospect of deep learning in road crack detection.
出处
《科技创新与应用》
2021年第5期176-178,共3页
Technology Innovation and Application
基金
浙江省交通运输厅科技计划项目(编号:2020045、2020053)。
关键词
卷积神经网络
沥青路面
裂缝检测
Convolutional Neural Network
asphalt pavement
crack detection
作者简介
韩海航(1966-),男,硕士,教授级高工,副院长,研究方向:计算机应用。
