Automation in road distress detection,diagnosis and treatment

作     者：Xu Yang Jianqi Zhang Wenbo Liu Jiayu Jing Hao Zheng Wei Xu Xu Yang;Jianqi Zhang;Wenbo Liu;Jiayu Jing;Hao Zheng;Wei Xu

作者机构：School of Future TransportationChang'an UniversityXi'an 710064China School of HighwayChang'an UniversityXi'an 710064China School of Information EngineeringChang'an UniversityXi'an 710064China 

出 版 物：《Journal of Road Engineering》 (道路工程学报（英文）)

年 卷 期：2024年第4卷第1期

页      面：1-26页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0814[工学-土木工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：supported by the National Key Research and Development Program of China (No.2021YFB2601000) National Natural Science Foundation of China (Nos.52078049,52378431) Fundamental Research Funds for the Central Universities,CHD (Nos.300102210302,300102210118) the 111 Proj-ect of Sustainable Transportation for Urban Agglomeration in Western China (No.B20035) Natural Science Foundation of Shaanxi Province of China (No.S2022-JM-193) 

主　　题：Road detection Road diagnosis Road treatment Deep learning Intelligent maintenance 

摘      要：Road transportation plays a crucial role in society and daily life,as the functioning and durability of roads can significantly impact a nation s economic *** the whole life cycle of the road,the emergence of disease is unavoidable,so it is necessary to adopt relevant technical means to deal with the *** study comprehensively reviews the advancements in computer vision,artificial intelligence,and mobile robotics in the road domain and examines their progress and applications in road detection,diagnosis,and treatment,especially asphalt ***,it analyzes the research progress in detecting and diagnosing surface and internal road distress and related techniques and algorithms are *** addition,also introduces various road gover-nance technologies,including automated repairs,intelligent construction,and path planning for crack *** their proven effectiveness in detecting road distress,analyzing diagnoses,and planning maintenance,these technologies still confront challenges in data collection,parameter optimization,model portability,system accuracy,robustness,and real-time ***,the integration of multidisciplinary technologies is imperative to enable the development of an integrated approach that includes road detection,diagnosis,and *** paper addresses the challenges of precise defect detection,condition assessment,and unmanned *** the same time,the efficiency of labor liberation and road maintenance is achieved,and the automation level of the road engineering industry is improved.