2D line filters for vision-based lane detection and tracking

A. Haselhoff, A. Kummert
{"title":"2D line filters for vision-based lane detection and tracking","authors":"A. Haselhoff, A. Kummert","doi":"10.1109/NDS.2009.5196176","DOIUrl":null,"url":null,"abstract":"In this work a vision-based lane detection system is presented. The main contribution is the application of 2D line filters for lane detection which suppress noise in the near distance without destroying lines in the fare distance. Line pairs are decided to belong to lane markings by means of parallelism is world coordinates and reasonable constraints concerning the road width. The polygon constructed from the detected lane markings is then tracked over time via a kalman filter. Results of the approach are presented in terms of the detection accuracy on a labeled video sequence.","PeriodicalId":299363,"journal":{"name":"2009 International Workshop on Multidimensional (nD) Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Multidimensional (nD) Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NDS.2009.5196176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

In this work a vision-based lane detection system is presented. The main contribution is the application of 2D line filters for lane detection which suppress noise in the near distance without destroying lines in the fare distance. Line pairs are decided to belong to lane markings by means of parallelism is world coordinates and reasonable constraints concerning the road width. The polygon constructed from the detected lane markings is then tracked over time via a kalman filter. Results of the approach are presented in terms of the detection accuracy on a labeled video sequence.
用于基于视觉的车道检测和跟踪的2D线路滤波器
本文提出了一种基于视觉的车道检测系统。主要贡献是将二维线路滤波器应用于车道检测,在不破坏近距离线路的情况下抑制近距离噪声。通过平行度、世界坐标和对道路宽度的合理约束,确定线对属于车道标线。从检测到的车道标记构建多边形,然后通过卡尔曼滤波器随时间跟踪。从标记视频序列的检测精度方面给出了该方法的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信