Lane detection system based on software and hardware codesign

M. Jeng, Chung-Yen Guo, Bo-Cheng Shiau, Liann-Be Chang, P. Hsiao
{"title":"Lane detection system based on software and hardware codesign","authors":"M. Jeng, Chung-Yen Guo, Bo-Cheng Shiau, Liann-Be Chang, P. Hsiao","doi":"10.1109/ICARA.2000.4803972","DOIUrl":null,"url":null,"abstract":"In this paper, we present a lane detection system (LDS) based on software and hardware codesign. In combining both hardware and software designs, it can achieve a real time lane detection within a processing time of less than 50ms. The hardware implemented by FPGA chip captures the lane image from CCD camera within a time less 10ms, which is faster than by software captures. In software design, the global edge detection is able to transfer the gray level image to binary pattern and show the edge of the object. Then, using this binary pattern find out the traffic lane location with following algorithm like the peak-finding and grouping, edge connecting, lane segment combination, lane boundaries selection. The lane departure warning algorithm detects the vehicle whether in traffic lane and judges whether sends out the warning. Experimental results demonstrate a quite good accuracy in lane detection whether at day or night condition.","PeriodicalId":435769,"journal":{"name":"2009 4th International Conference on Autonomous Robots and Agents","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 4th International Conference on Autonomous Robots and Agents","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARA.2000.4803972","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

In this paper, we present a lane detection system (LDS) based on software and hardware codesign. In combining both hardware and software designs, it can achieve a real time lane detection within a processing time of less than 50ms. The hardware implemented by FPGA chip captures the lane image from CCD camera within a time less 10ms, which is faster than by software captures. In software design, the global edge detection is able to transfer the gray level image to binary pattern and show the edge of the object. Then, using this binary pattern find out the traffic lane location with following algorithm like the peak-finding and grouping, edge connecting, lane segment combination, lane boundaries selection. The lane departure warning algorithm detects the vehicle whether in traffic lane and judges whether sends out the warning. Experimental results demonstrate a quite good accuracy in lane detection whether at day or night condition.
基于软硬件协同设计的车道检测系统
本文提出了一种基于软硬件协同设计的车道检测系统(LDS)。通过硬件和软件的结合设计,可以在小于50ms的处理时间内实现实时的车道检测。FPGA芯片实现的硬件在小于10ms的时间内捕获CCD相机的车道图像,比软件捕获更快。在软件设计中,全局边缘检测能够将灰度图像转换为二值模式,显示目标的边缘。然后,利用该二值模式,通过寻峰分组、边缘连接、车道段组合、车道边界选择等算法找到交通车道位置。车道偏离预警算法检测车辆是否在交通车道内,判断是否发出预警。实验结果表明,无论在白天还是在夜间,该方法都具有较高的车道检测精度。
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