基于几何规则的车载近景立体影像道路交通标线自动提取

doi:10.13474/j.cnki.11-2246.2020.0107

测绘通报 ›› 2020, Vol. 0 ›› Issue (4): 27-33.doi: 10.13474/j.cnki.11-2246.2020.0107

基于几何规则的车载近景立体影像道路交通标线自动提取

袁家明^1,2,3, 张卡^1,2,4,5,6, 陈辉^1,2, 宿东^1,2, 王蓬勃^1,2

1. 虚拟地理环境教育部重点实验室(南京师范大学), 江苏南京 210023;
2. 江苏省地理环境演化国家重点实验室培育建设点, 江苏南京 210023;
3. 昆山数字城市信息技术有限公司, 江苏昆山 215300;
4. 南京师范大学地理科学学院, 江苏南京 210023;
5. 自然资源部城市国土资源监测与仿真重点实验室, 广东深圳 518034;
6. 江苏省地理信息资源开发与利用协同创新中心, 江苏南京 210023

收稿日期:2019-06-24 发布日期:2020-05-08
通讯作者: 张卡。E-mail:zhangka81@126.com E-mail:zhangka81@126.com
作者简介:袁家明(1994-),男,硕士生,主要从事基于数字摄影测量的三维空间数据采集方面的研究。E-mail:770239906@qq.com
基金资助:
自然资源部城市国土资源监测与仿真重点实验室开放基金（KF-2019-04-003）；国家自然科学基金（41631175）；江苏省海洋科技创新专项（HY2018-3）；国家重点研发计划（2017YFB0503500；2017YFB0503504）；江苏高校优势学科建设工程资助（164320H116）

Automatic extraction of road traffic marking from vehicle-borne close-range stereo images based on geometric rules

YUAN Jiaming^1,2,3, ZHANG Ka^1,2,4,5,6, CHEN Hui^1,2, SU Dong^1,2, WANG Pengbo^1,2

1. Key Laboratory of Virtual Geographic Environment(Nanjing Normal University), Ministry of Education, Nanjing 210023, China;
2. State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China;
3. Kunshan Digital City Information Technology Company, Kunshan 215300, China;
4. School of Geography Nanjing Normal University, Nanjing 210023, China;
5. Key Laboratory of Urban Land Resourles Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China;
6. Center for Collaborative Innovation in Geographical Information Resource Development and Application, Jiangsu Province, Nanjing 210023, China

Received:2019-06-24 Published:2020-05-08

摘要/Abstract

摘要： 道路交通标线信息是道路导航地图中必不可少的数据，对于制作精度更高、道路细节信息更加丰富清晰的高精度导航地图具有重要的作用。本文以车载近景立体影像中的道路交通标线信息自动提取为研究目标，针对道路交通标线快速、精确采集的应用需求，提出了基于几何规则的车载近景立体影像道路交通标线自动提取方法。该方法首先分析了道路交通标线的几何特征；其次，构建了基于几何特征的交通标线信息提取规则；最后，以标线种子点为基础，结合前述规则，实现了道路交通标线三维空间信息的自动采集。以南京师范大学的车载移动测量系统拍摄的实际近景立体影像为数据进行了试验，试验结果证明，本文方法相比传统人机交互采集方法，在交通标线特征点采集效率、标线几何相似度等方面有较大的优势，可为高精度导航地图的生产提供一种可借鉴的技术支撑。

关键词: 近景摄影测量, 车载立体影像, 道路交通标线, 标线特征规则, 标线信息提取

Abstract: Road traffic marking is an indispensable data in road navigation maps, which plays an important role in making high-precision maps, and navigation maps with higher accuracy, richer and clearer road detail information. The automatic extraction of road traffic marking information in vehicle-borne close-range stereo images is taken as the research target in this paper. For rapid and accurate collection of road traffic marking, an automatic extraction method is proposed based on geometric features. Firstly, the geometric features of road traffic marking are analyzed. Secondly, the extraction rules of traffic marking are constructed based on geometric features. Finally, combined with the foregoing rules, the automatic collection of three-dimensional spatial information of traffic marking is realized based on the seed points. The close-range stereo images collected by mobile measurement system of Nanjing normal university have been carried out to verify the experiment. The experimental results prove that this method compared with the traditional human-computer interaction collection method, has mere advantages in collection efficiency of traffic marking feature points and the geometric similarity of marking. This method approved it provides a technical support for the production of high precision navigation map for reference.

Key words: close-range photogrammetry, vehicle-borne stereo image, road traffic marking, marking characteristic rules, marking information extraction

中图分类号:

P237

袁家明, 张卡, 陈辉, 宿东, 王蓬勃. 基于几何规则的车载近景立体影像道路交通标线自动提取[J]. 测绘通报, 2020, 0(4): 27-33.

YUAN Jiaming, ZHANG Ka, CHEN Hui, SU Dong, WANG Pengbo. Automatic extraction of road traffic marking from vehicle-borne close-range stereo images based on geometric rules[J]. Bulletin of Surveying and Mapping, 2020, 0(4): 27-33.

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基于几何规则的车载近景立体影像道路交通标线自动提取

Automatic extraction of road traffic marking from vehicle-borne close-range stereo images based on geometric rules

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