摘要
随着车载LiDAR测量系统技术的成熟,其普及率也越来越高。为了确保车载LiDAR测量系统的准确性,需要定期对系统进行检校。传统检校车载LiDAR测量系统的方法是使用全站仪进行测量,本文提出一种使用近景摄影测量技术的方法来检校车载LiDAR测量系统。该方法通过获取测量系统的二维图像,使用SFM三维重建算法将其拟合为点云模型,然后计算得出测量系统的空间属性。该方法简单易行,不单提高了数据精度,丰富了数据的纹理信息,还降低了作业成本,能够为车载激光雷达测量系统的检校提供良好的技术支撑。
With the maturity of vehicle LiDAR measurement system technology,its penetration rate is also increasing.In order to ensure the accuracy of the vehicle LiDAR measurement system,the system needs to be checked and calibrated regularly.The traditional method of calibrating vehicle LiDAR measurement system is to use total station.This paper presents a method to calibrate the vehicle LiDAR measurement system by close-range photogrammetry.This method first obtains the 2 D image of the measurement system,fitted as a point cloud model by using 3 D reconstruction,then the spatial properties of the measurement system are calculated.This method is simple and easy to use,which not only improves the data accuracy,enriches the texture information of the data,but also reduces the operation cost,and can provide good technical support for the vehicle LiDAR measurement system calibration.
作者
郭明
高楚天
邵天翼
危双丰
王睿
Guo Ming;Gao Chutian;Shao Tianyi;Wei Shuangfeng;Wang Rui(School of Geomatics and Urban Space Information,Beijing University of Civil Engineering and Architecture,Beijing100044,China;Representative Engineering Center of Ministry of Education,Beijing102616,China;Key Laboratory for Urban Geomatics of National Administration of Surveying,Mapping and Geoinformation,Beijing102616,China;Beijing Key Laboratory for Architectural Heritage Fine Reconstruction&Health Monitoring,Beijing102616,China;Beijing Zhongjiaohuaan Technology Co.,Ltd,Beijing100088,China)
出处
《工程勘察》
2019年第10期48-52,共5页
Geotechnical Investigation & Surveying
基金
国家“十二五”科技支撑计划项目“低等级公路安全防控关键技术研发与集成示范”(2014BAG01B06)
北京市教委科研项目-科技计划一般项目(面上项目KM201810016013,KM201510016016)
北京市属高校基本科研业务费项目(X18050,X18001,X18299)
北京建筑大学校设科研基金自然科学项目特设基金(KYJJ2017024)
关键词
近景摄影测量
LIDAR
三维重建
点云模型
close-range photogrammetry
LiDAR
3D reconstruction
point cloud model
