{"title":"基于特征模式的车道检测新方法","authors":"Xue-chao Shi, Bin Kong, Fei Zheng","doi":"10.1109/CISP.2009.5304294","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel method to detect lane. We process the image in the HSV color space through three steps to detect all the features of the lanes. Then we synthetically judge the lane region by the features. Finally, we detect the lane by the subsection detecting method, according to the orientation of the lane. It is proved to have high accuracy and performance. So it can be used in video-images for Driver Assistance System.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"A New Lane Detection Method Based on Feature Pattern\",\"authors\":\"Xue-chao Shi, Bin Kong, Fei Zheng\",\"doi\":\"10.1109/CISP.2009.5304294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a novel method to detect lane. We process the image in the HSV color space through three steps to detect all the features of the lanes. Then we synthetically judge the lane region by the features. Finally, we detect the lane by the subsection detecting method, according to the orientation of the lane. It is proved to have high accuracy and performance. So it can be used in video-images for Driver Assistance System.\",\"PeriodicalId\":263281,\"journal\":{\"name\":\"2009 2nd International Congress on Image and Signal Processing\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 2nd International Congress on Image and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISP.2009.5304294\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Congress on Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2009.5304294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Lane Detection Method Based on Feature Pattern
In this paper, we present a novel method to detect lane. We process the image in the HSV color space through three steps to detect all the features of the lanes. Then we synthetically judge the lane region by the features. Finally, we detect the lane by the subsection detecting method, according to the orientation of the lane. It is proved to have high accuracy and performance. So it can be used in video-images for Driver Assistance System.
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