测绘通报 ›› 2024, Vol. 0 ›› Issue (2): 178-182.doi: 10.13474/j.cnki.11-2246.2024.0233

• 测绘地理信息技术应用案例 • 上一篇    

智航无人机载LiDAR系统在轨道交通建设中的应用分析

徐花芝1, 蒋文婷1, 陈春雷2, 张允涛1, 王萧2   

  1. 1. 山东省国土测绘院, 山东 济南 250102;
    2. 广州南方测绘科技有限公司, 广东 广州 510630
  • 收稿日期:2023-08-24 出版日期:2024-02-25 发布日期:2024-03-12
  • 通讯作者: 蒋文婷。E-mail:53606665@qq.com
  • 作者简介:徐花芝(1983—),女,硕士,高级工程师,主要从事摄影测量与遥感、LiDAR数据处理等工作。E-mail:93731551@qq.com
  • 基金资助:
    省级自然资源监测监管大数据应用服务平台建设(2019JZZY020103)

Application analysis of UAV LiDAR system in urban rail transit construction

XU Huazhi1, JIANG Wenting1, CHEN Chunlei2, ZHANG Yuntao1, WANG Xiao2   

  1. 1. Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250102, China;
    2. South Surveying & Mapping Instrument Co., Ltd., Guangzhou 510630, China
  • Received:2023-08-24 Online:2024-02-25 Published:2024-03-12

摘要: 为了减少轨道交通建设外业勘测的工作量,提高制图的效率和精度,本文首先基于实际项目,选用智航SF1650六旋翼无人机载LiDAR系统对济南新东站片区进行航摄,利用获取的LiDAR点云和影像数据制作DEM、DOM,然后再进行大比例尺地形图和片区断面图的制作。通过外业勘测核实,DEM和DOM精度完全满足轨道交通建设工程制作大比例尺地形图的要求,且相较于传统立体航测,精度和数据利用率得到很大的提升,极大减少了外业勘测工作量,验证了智航SF1650无人机载LiDAR系统的可行性,为今后的工程应用提供了参考方案。

关键词: 智航SF1650无人机, LiDAR点云, 轨道交通建设, 精度高

Abstract: In order to reduce the workload of field survey in urban rail transit construction and improve the efficiency and accuracy of mapping, this study is based on an actual project. The SF1650 six rotor UAV LiDAR system is selected to aerial photograph of the Jinan East Railway Station area. The obtained LiDAR point cloud and image data are used to make DEM and DOM, and then large-scale topographic maps and sectional maps of the area are made. Through field surveys, it has been verified that the accuracy of DEM and DOM fully meets the requirements for large-scale topographic maps in urban rail transit construction projects. Compared to traditional stereomapping, the accuracy and data utilization have been greatly improved, greatly reducing the workload of field surveys. The feasibility of the SF1650 UAV LiDAR system has been verified, providing a reference plan for future engineering applications.

Key words: SF1650 UAV, LiDAR point cloud, urban rail transit construction, high precision

中图分类号: