PAPER P05 · 2015
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
Koch, C., Georgieva, K., Kasireddy, V., Akinci, B., Fieguth, P. — Advanced Engineering Informatics 29(2):196-210
已读摘要 引用次数: openalex: 1,056 · crossref: 994 · semanticScholar: 1,005 (2026-10-22)
综述针对钢筋混凝土桥梁、预制隧道衬砌、埋地混凝土管道和沥青路面的计算机视觉缺陷检测与状态评估。文章的结论是,大多数相关缺陷都可以自动检测,但缺陷属性的自动提取和状态评级尚未实现。文章为土木工程和计算机科学两类读者分别列出了待解决的问题。
主要发现
- Detection of most relevant defect types was already automatable
- Automatic retrieval of defect properties and condition assessment was not yet achieved
局限
- Abstract only reviewed
- Not UAV-specific; predates widespread drone use
- Literature up to about 2014
对照阅读一篇配送综述,可以看出无人机研究共有哪些问题;见物流指南的论文卡片A literature review of drone-based package delivery logistics systems and their implementation feasibility。