摘要
文章基于北斗卫星定位和人工智能技术,利用深度学习和边缘计算方法,对车载摄像机获取的高清图像进行处理,建立了路面病害自动识别系统,实现了路面病害的机器视觉自动化巡检,并通过北斗定位系统对病害的时空位置进行精准记录。此外,系统能够自动识别并推送路面病害信息,显著提高路面病害巡检的效率。
Based on Beidou satellite positioning and artificial intelligence technology,this paper uses deep learning and edge computing methods to process the high-definition images obtained by the vehicle-mounted camera,establishes an automatic identification system for pavement diseases,realizes the automatic inspection of machine vision for pavement diseases,and accurately records the spatio-temporal location of the disease through the Beidou positioning system.In addition,the system can automatically identify and push pavement disease information,which significantly improves the efficiency of pavement disease inspection.
作者
陈兴文
席恩伟
CHEN Xingwen;XI Enwei
出处
《智能城市》
2025年第2期33-35,共3页
Intelligent City
基金
云南省数字交通重点实验室(202205AG070008)
云南省交通投资建设集团有限公司科技创新项目“基于北斗及AI的视频智慧养护巡检关键技术应用研究”(YCIC-YF-2022-12)。
关键词
北斗卫星定位技术
人工智能
路面病害自动识别
路面自动巡检
Beidou satellite positioning technology
artificial intelligence
automatic identification of pavement diseases
automatic road surface inspection
