Improved lane detection system using Hough transform with super-resolution reconstruction algorithm and multi-ROI

Jae-Hyun Cho, Erdenetuya Tsogtbaatar, Seong-Hoon Kim, Young-Min Jang, Pham Minh Luan Nguyen, Sang-Bock Cho
{"title":"Improved lane detection system using Hough transform with super-resolution reconstruction algorithm and multi-ROI","authors":"Jae-Hyun Cho, Erdenetuya Tsogtbaatar, Seong-Hoon Kim, Young-Min Jang, Pham Minh Luan Nguyen, Sang-Bock Cho","doi":"10.1109/ELINFOCOM.2014.6914446","DOIUrl":null,"url":null,"abstract":"Nowadays, due to the increasing need for using black boxes in vehicles, an evolving market is being created; that for example in South Korea, more than 1 million vehicles have been equipped with this device. In this paper, in order to improve the lane detection recognition via Hough transform, we improved the algorithm by set multi-ROI to reduce error rates and unrecognized part of the outside something as a lane. And we applied super-resolution reconstruction to correct the image. Through the proposed algorithm, proposed algorithm increase 0.6% of lane recognition rate and by setting multi-ROI irregular part of the road does not recognize so lane detection error rate was reduced significantly.","PeriodicalId":360207,"journal":{"name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Information and Communications (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINFOCOM.2014.6914446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Nowadays, due to the increasing need for using black boxes in vehicles, an evolving market is being created; that for example in South Korea, more than 1 million vehicles have been equipped with this device. In this paper, in order to improve the lane detection recognition via Hough transform, we improved the algorithm by set multi-ROI to reduce error rates and unrecognized part of the outside something as a lane. And we applied super-resolution reconstruction to correct the image. Through the proposed algorithm, proposed algorithm increase 0.6% of lane recognition rate and by setting multi-ROI irregular part of the road does not recognize so lane detection error rate was reduced significantly.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
改进的Hough变换车道检测系统,结合超分辨率重建算法和多roi
如今,由于在车辆中使用黑匣子的需求日益增加,正在创造一个不断发展的市场;例如,在韩国,有超过100万辆汽车配备了这种设备。本文为了提高Hough变换对车道检测的识别能力,对算法进行了改进,通过设置多个感兴趣点来降低错误率,并将无法识别的外部物体部分作为车道。并应用超分辨率重建对图像进行校正。通过本文提出的算法,本文提出的算法提高了0.6%的车道识别率,并通过设置多roi对不规则部分道路不进行识别,从而显著降低了车道检测的错误率。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automatic detection and decoding of photogrammetric coded targets Human movement detection using home network information and events on smartphones Multi-stage FIR filter design for portable digital spectrum analyzers A pose adaptive eye detection method using 3D face information Learning of social skills for Human-Robot Interaction by hierarchical HMM and interaction dynamics
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1