Improvements on Road Centerline Extraction by Combining Voronoi Diagram and Intensity Feature from 3D UAV-Based Point Cloud

被引：1

作者：

Bicici, Serkan ^{[1
]}

Zeybek, Mustafa ^{[2
]}

机构：

[1] Artvin Coruh Univ, Fac Engn, Geomat Engn, TR-08100 Artvin, Turkey

[2] Selcuk Univ, Guneysinir Vocat Sch Higher Educ Architecture & U, TR-42490 Konya, Turkey

来源：

6TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS | 2022年 / 393卷

关键词：

Road centerline; UAV; Point cloud; Voronoi diagram; Road lane; AERIAL;

D O I：

10.1007/978-3-030-94191-8_76

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study presents an application for road data users to make it easier to identify the centerline of roads. Images obtained from high-resolution unmanned aerial vehicles (UAV) provide a reliable database for fundamental applications such as road safety, road maintenance, traffic network, city planning, and vehicle navigation systems, thanks to accurate road extraction and centerline. Road extraction methods are based on algorithms that usually classify roads from 2D images. However, such data are difficult to provide high accuracy spatial information. Moreover, there are limitations for spatial information extraction problems for the road centerline. To overcome these limitations, we present a method to extract road centerline with 3D data based on point clouds that provide reliable information from UAV images. Commonly used three measures, namely Completeness, Correctness and Quality, for the road centerline extraction are 0.905, 0.999 and 0.905, respectively.

引用

页码：935 / 944

页数：10

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