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.