背包式激光雷达破损路面形变检测方法

doi:10.13474/j.cnki.11-2246.2024.0710

测绘通报 ›› 2024, Vol. 0 ›› Issue (7): 55-59,82.doi: 10.13474/j.cnki.11-2246.2024.0710

背包式激光雷达破损路面形变检测方法

吴景动, 蔡来良, 张冰洁, 王鑫

河南理工大学测绘学院, 河南焦作 454003

收稿日期:2023-10-09 发布日期:2024-08-02
通讯作者: 蔡来良。E-mail:cll@hpu.edu.cn
作者简介:吴景动(1999—),男,硕士,研究方向为三维激光扫描技术。E-mail:3470144786@qq.com
基金资助:
国家自然科学基金(41701597);中国博士后科学基金(2018M642746)

Backpack LiDAR damage pavement deformation detection method

WU Jingdong, CAI Lailiang, ZHANG Bingjie, WANG Xin

Henan Polytechnic University, School of Surveying and Mapping, Jiaozuo 454003, China

Received:2023-10-09 Published:2024-08-02

摘要/Abstract

摘要： 为了高效监测道路破损现象,本文采用背包式三维激光扫描技术观测路面,并提出了一种破损路面形变检测方法。对于拉伸型破损,建立了基于色域均值的点云破损路面提取算法。首先构建二维格网进行破损初步提取。然后对点云的RGB色域进行加权均值计算,通过比值的差异化进行精细筛选,获取道路破损点云。对于挤压型破损,采用法向量夹角标准差法。使用欧式聚类,利用分类出的拉伸破损和挤压破损计算长度、宽度、破损间隔、高度。最后计算路面倾斜度,通过五维信息建立路面损伤综合评价模型。试验结果表明,拉伸型破损提取准确率达96.4%,挤压型破损提取准确率达100%;且路面损伤综合评价模型表明该条道路为三级破损,需要进行修复。本文方法基本满足道路破损提取所需精度,能为道路交通管制及修复措施制定提供技术支持。

关键词: 破损检测, 色域权重, 二维格网, 法向量, 路面损伤综合评价模型

Abstract: In order to efficiently monitor the road damage phenomenon, this paper adopts backpack 3D laser scanning technology to observe the road surface, and proposes a method to detect the deformation of damaged road surface. For the stretching type of damage, a point cloud damaged pavement extraction algorithm based on the mean value of the colour field is established. Firstly, a two-dimensional grid is constructed for the initial extraction of damage, and then the weighted mean value of the RGB colour gamut of the point cloud is calculated, and the point cloud of road damage is obtained by fine screening through the differentiation of the ratio; for the extrusion-type damage, the normal vector pinch angle standard deviation method is used. Then, using Euclidean clustering, the classified tensile and extruded damages are calculated as length, width, damage interval, height, and finally the pavement inclination. A comprehensive pavement damage evaluation model is established through the 5D information. The experimental results show that the accuracy of tensile damage extraction reaches 96.4%, and the accuracy of extrusion damage extraction reaches 100%, and the comprehensive evaluation model of pavement damage indicates that the road is a third-class damage, which needs to be repaired. It basically meets the required accuracy of road damage extraction, and provides technical support for the formulation of road traffic control and repair measures.

Key words: damage detection, colour gamut weighting, 2D grid, normal vectors, comprehensive evaluation model of pavement damage

中图分类号:

吴景动, 蔡来良, 张冰洁, 王鑫. 背包式激光雷达破损路面形变检测方法[J]. 测绘通报, 2024, 0(7): 55-59,82.

WU Jingdong, CAI Lailiang, ZHANG Bingjie, WANG Xin. Backpack LiDAR damage pavement deformation detection method[J]. Bulletin of Surveying and Mapping, 2024, 0(7): 55-59,82.

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背包式激光雷达破损路面形变检测方法

Backpack LiDAR damage pavement deformation detection method

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