公路2024,Vol.69Issue(7) :162-167.

超低空无人机LiDAR在枢纽互通改扩建中的应用

The Application of Ultra-low Altitude Unmanned Aerial Vehicle Airborne LiDAR in Reconstruction and Extension of Hub Interchange Project

曾力 曾聪 常青
公路2024,Vol.69Issue(7) :162-167.

超低空无人机LiDAR在枢纽互通改扩建中的应用

The Application of Ultra-low Altitude Unmanned Aerial Vehicle Airborne LiDAR in Reconstruction and Extension of Hub Interchange Project

曾力 1曾聪 1常青1
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作者信息

  • 1. 中交第二公路勘察设计研究院有限公司 武汉市 430056
  • 折叠

摘要

基于在大型枢纽互通改扩建工程中,由于存在路面靶标不便布设、匝道行车方向转变导致惯导误差较大等问题,车载激光点云局部精度无法得到保障,不能满足改扩建工程勘察测量的精度要求.提出了一种基于距离加权的超低空无人机LiDAR数据处理方法,结合枢纽互通外侧的高精度靶标点,可以提供满足工程精度要求的高精度激光点云.通过试验验证,根据超低空LiDAR点云的点密度特征和反射强度特征,120 cm×120 cm尺寸的"田"字型靶标在超低空LiDAR数据中可以有效进行判读.将该方法应用于狮子洋通道工程勘察设计项目中枢纽互通高精度激光数据获取,通过试验证明,该方法得到的激光点云成果精度优于平面5 cm、高程2 cm,满足改扩建工程勘察设计的要求.

Abstract

Due to the problems such as difficult target measurement and large inertial navigation errors,high accuracy survey is difficult to achieve in hub interchange reconstruction and extension project.A new method of distance-weighted data processing for ultra-low altitude Unmanned Aerial Vehicle(UAV)Airborne LiDAR with target adjustment which is outside the road is proposed to improve the accuracy of laser point cloud.Considering the density and reflection intensity of the point cloud,it is verified through experiments that the black and white square target with a size of 120 cm×120 cm can be effectively interpreted in ultra-low altitude laser data.This method is applied in the survey and design of the Shiziyang Lin Project,proving that the accuracy of ultra-low altitude UAV laser scanning has been achieved in the horizontal direction better than 5 cm and in the elevation direction better than 2 cm,which satisfies the survey and design of the hub interchange reconstruction and extension project.

关键词

狮子洋通道/航空摄影测量/超低空无人机LiDAR/靶标点/中值滤波/基于距离加权拟合

Key words

Shiziyang Link Project/aerial photogrammetry/ultra-low UAV LiDAR/target/median filtering/distance-weighted fitting

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出版年

2024
公路
中国交通建设集团有限公司

公路

CSTPCD北大核心
影响因子:0.54
ISSN:0451-0712
参考文献量8
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