道路病害3D雷达检测精确定位与数据智能解译技术研究  

Precise Localization&Intelligent Data Interpretation of Road Defects Using 3D Radar Detection

作　　者：王水强 WANG Shui-qiang(Shanghai Investigation,Design&Research InstituteCo.,Ltd.,Shanghai 200093,China)

机构地区：[1]上海勘察设计研究院(集团)股份有限公司,上海200093

出　　处：《中国市政工程》2025年第1期45-48,145,共5页China Municipal Engineering

摘　　要：为提升道路病害3D雷达检测的准确率和效率,开展了基于3D探地雷达道路病害检测精准定位和数据智能解译技术研究,通过将卫星定位与惯性测量相结合形成组合导航技术。该技术能够满足隧道、高架、林荫道、高楼等卫星信号受遮挡的复杂环境下高精度定位导航的需求,同时,采用深度学习与人工干预分析相结合的方式开展道路病害识别,能够有效提高病害识别的准确率。文章以某城市主干道路排水管道改造项目为例进行分析,采用道路病害3D雷达检测精确定位与数据智能解译技术,能够快速、精准确定道路沿线施工范围内的病害分布。To enhance the accuracy and efficiency of 3D radar detection for road defects,research has been conducted on precise positioning and intelligent data interpretation technologies for road defect detection based on 3D ground-penetrating radar.This technology combines satellite positioning with inertial measurement to form a hybrid navigation technology.It is capable of meeting the needs for high-precision positioning and navigation in complex environments where satellite signals are obstructed,such as tunnels,elevated roads,tree-lined avenues,and high-rise buildings.Additionally,by employing a combination of deep learning and manual intervention analysis for road defect identification,the accuracy of defect recognition can be effectively improved.The article takes the reconstruction project of a main road drainage pipeline in a certain city as an example for analysis,utilizing the precise positioning and intelligent data interpretation technology of road defect 3D radar detection to quickly and accurately determine the distribution of defects along the road within the construction area.

关 键 词：3D探地雷达 组合导航 惯性测量 人工智能识别 道路病害 

分 类 号：U412.2[交通运输工程—道路与铁道工程]