基于倾斜摄影的高速公路路面平整度检测方法  

Highway Pavement Roughness Detection Based On Oblique Photography Technology

作　　者：潘彦辰 郑鼎州 王芳[3] Pan Yanchen;Zheng Dingzhou;Wang Fang(China Design Group Co.,Ltd.,Nanjing,China;Ningxia Jiaotong School,Yinchuan,China;Ningxia University,Yinchuan,China)

机构地区：[1]华设设计集团,江苏南京 [2]宁夏交通学校,宁夏银川 [3]宁夏大学,宁夏银川

出　　处：《科学技术创新》2025年第4期205-209,共5页Scientific and Technological Innovation

基　　金：宁夏回族自治区社会科学领域重点研发项目(2022CMG02017)。

摘　　要：针对传统路面平整度检测低效率、整体评价水平差、高成本的的缺点,本文基于无人机倾斜摄影测量技术提出一种高效率、高精度、低成本的新型公路工程路面平整度检测方法,该检测方法是借助LSV图新软件将航拍构建出的倾斜实景模型进行高程提取,利用虚拟3 m直尺包络线法,得出测量路面的最大深度值,以标准偏差来反映路面平整度。通过对乌玛高速2 km试验段的验证,发现基于倾斜摄影技术的高速公路路面平整度检测方法,在检测精度、成本等方面与传统路面平整度检测相比有较大的优势,为后期进一步研究公路工程路面平整度研究提供参考。In view of the shortcomings of low efficiency,poor overall evaluation level and high cost of traditional pavement flatness detection,this paper proposes a new high-efficiency,high-precision and low-cost highway engineering pavement flatness detection method based on UAV oblique photogrammetry technology,which uses the new LSV map software to extract the elevation of the oblique real scene model constructed by aerial photography,using the virtual 3 m straightedge envelope method,the maximum depth value of each section is used to calculate the standard deviation to reflect the smoothness of the road surface.Through the verification of the 2 km test section of Uma Expressway,it is found that the highway pavement flatness detection method based on oblique photography technology has great advantages over the traditional compliance detection in terms of detection accuracy and cost,which provides a reference for further research on the pavement flatness of highway engineering in the later stage.

关 键 词：道路工程 倾斜摄影模型 虚拟3 m直尺测量法 

分 类 号：U411[交通运输工程—道路与铁道工程]