基于双目结构光技术的路面坑槽多指标提取方法  

Multi-index extraction method of pavement pothole based on binocular structured light technology

作　　者：王葱 潘均 孙尚宇[1] 宋伟东[2] WANG Cong;PAN Jun;SUN Shangyu;SONG Weidong(College of Surveying,Mapping and Geographic Sciences,Liaoning Technical University,Fuxin 123000,China;Geospatial information service innovation research together,Liaoning Technical University,Fuxin 123000,China;Key Laboratory of Aerial Remote Setting Technology,Ministry of Natural Resources of the People s Republic of China,Beijing 100039,China)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000 [2]辽宁工程技术大学地理空间信息服务协同创新学院,辽宁阜新123000 [3]航空遥感技术自然资源部重点实验室,北京100039

出　　处：《测绘通报》2023年第11期75-81,共7页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(42071343)。

摘　　要：针对弱光、弱纹理环境下路面坑槽多维度指标提取问题,以及传统方式和激光技术的应用缺陷,本文采用双目结构光三维成像系统获取路面坑槽图像,利用RANSAC算法拟合道路平面,分割坑槽点云,与拟合平面求交为坑槽顶面轮廓点,采用双向最近点搜索法排序,逆时针连接后采用轮廓点法计算面积;提取各数据点深度计算坑槽深度指标;采用微元逼近法对坑槽进行等距切片,计算坑槽体积。并采用BPA算法进行曲面重建,为相关应用场景提供更直观的数据视角。将正常光线和弱光、弱纹理环境下的计算结果与人工测量结果相比,坑槽深度、面积及体积的最大相对误差分别为2.73%、6.50%、8.60%和2.99%、5.25%、8.28%。依据计算指标对坑槽严重程度进行评价,与人工测量相比,满足坑槽评价一致性标准。表明设备与检测方法对于弱光、弱纹理环境的适用性,可为坑槽评价、修补材料估算、养护优先级判定、路面养护规划制定等提供数据支持和技术支撑。Aiming at the problem of multi-dimensional index extraction of pavement potholes in low light and weak texture environment,as well as the application defects of traditional methods and laser technology,the binocular structured light 3D imaging system is used to obtain pavement pit images,and the RANSAC algorithm is used to fit the road plane,segment the pit point cloud,intersect with the fitted plane as the contour point of the top surface of the pit,sort by the two-way nearest point search method,and calculate the area by the contour point method after counter-clockwise connection.Extract the depth of each data point to calculate the pit depth index.The microelement approximation method is used to slice the pit equidistant and calculate the volume of the pit.BPA algorithm is used to reconstruct the surface to provide a more intuitive data perspective for related application scenarios.The maximum relative errors of depth of pit,area,volume in normal light and weak light and weak texture environment compare with manual measurement results are 2.73%,6.50%,8.60%,2.99%,5.25%and 8.28%,respectively.According to the calculation index,the severity evaluation of the pit meets the consistency standard of pit evaluation compared with manual measurement.It shows the applicability of equipment and detection methods to weak light and weak texture environment,and can provide data support and technical support for pothole evaluation,repair material estimation,maintenance priority determination,pavement maintenance planning and formulation.

关 键 词：弱光弱纹理 双目结构光三维成像 路面坑槽 多维度指标提取 检测 

分 类 号：P208[天文地球—地图制图学与地理信息工程]