长沙理工大学学报（自然科学版）2025，Vol.22Issue(2)：1-25,25.DOI:10.19951/j.cnki.1672-9331.20240626001
路面裂缝与坑槽智能识别及其修补路径自动化规划综述
Review of intelligent recognition of pavement cracks and potholes and automated path planning for repairs
摘要
Abstract
To gain a comprehensive understanding of the current level of intelligent maintenance for pavement distresses and alleviate the contradiction between the increasing maintenance demands and the reduction of maintenance funds,as well as the aging of maintenance personnel,intelligent recognition of the two most common types of pavement distresses,namely cracks and potholes,and automated path planning for their repairs were reviewed.Firstly,the intelligent repair issues of the two types of distresses were discussed;secondly,the common methods used in the two stages of intelligent recognition for both types of distresses and automated path planning for repairs were summarized.This included intelligent recognition methods such as distress trajectory identification and extraction algorithms,3D reconstruction methods,and image/video recognition methods;precise algorithms and heuristic optimization algorithms suitable for the automated repair of cracks;horizontal slicing acquisition algorithms and automated area filling algorithms suitable for the automated repair of potholes,and other automated path planning methods for repairs.Finally,a survey was conducted on the functions,advantages,and disadvantages of intelligent/automated equipment for both types of distresses,and prospects were provided for the next generation of automated repair equipment based on current technology levels and practical needs.The research finds that there is a relative lack of research on precise solution-based automated repair planning methods for cracks,two-stage intelligent repair technology combining distress identification with automated repairs,and the development of new-generation intelligent repair equipment.Therefore,it is recommended to carry out research in these areas and propose more intelligent repair technologies and equipment development plans suitable for cracks and potholes,aiming to provide theoretical and practical guidance for the intelligent maintenance of pavement distresses.关键词
裂缝/坑槽/智能化修补/图像识别/修补路径规划/精确算法/智能优化算法/自动化修补设备Key words
crack/pothole/intelligent repair/image recognition/path planning for repair/exact algorithm/intelligent optimization algorithm/automated repair equipment分类
交通运输引用本文复制引用
于静,文思巧巧,鲁巍巍,吕松涛..路面裂缝与坑槽智能识别及其修补路径自动化规划综述[J].长沙理工大学学报（自然科学版）,2025,22(2):1-25,25.基金项目
国家自然科学基金项目(52308439、52225806、52078063) （52308439、52225806、52078063）
教育部人文社科项目(23YJCZH286) （23YJCZH286）
山东省交通运输科技计划(2023B83) National Natural Science Foundation of China(52308439,52225806,52078063) （2023B83）
Humanities and Social Science Fund of Ministry of Education(23YJCZH286) （23YJCZH286）
Traffic Transportation Science and Technology Projects in Shandong Province(2023B83) （2023B83）
