Jiun-Hung Li, Chih-Li Huo, Yu-Hsiang Yu, Tsung-Ying Sun
{"title":"基于时间序列的车道标记识别","authors":"Jiun-Hung Li, Chih-Li Huo, Yu-Hsiang Yu, Tsung-Ying Sun","doi":"10.1109/ICSSE.2013.6614677","DOIUrl":null,"url":null,"abstract":"In this paper, time sequence based lane-marking identification method is proposed to deal with the classification and robust improvement of lane-marking detection mechanism which is proposed in our previous works. The proposed method collects information of several consecutive image frames to perform identification. The experimental results show that the developed system can effectively identify lane-marking in various driving environment.","PeriodicalId":124317,"journal":{"name":"2013 International Conference on System Science and Engineering (ICSSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time sequence based lane-marking identification\",\"authors\":\"Jiun-Hung Li, Chih-Li Huo, Yu-Hsiang Yu, Tsung-Ying Sun\",\"doi\":\"10.1109/ICSSE.2013.6614677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, time sequence based lane-marking identification method is proposed to deal with the classification and robust improvement of lane-marking detection mechanism which is proposed in our previous works. The proposed method collects information of several consecutive image frames to perform identification. The experimental results show that the developed system can effectively identify lane-marking in various driving environment.\",\"PeriodicalId\":124317,\"journal\":{\"name\":\"2013 International Conference on System Science and Engineering (ICSSE)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on System Science and Engineering (ICSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSE.2013.6614677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2013.6614677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, time sequence based lane-marking identification method is proposed to deal with the classification and robust improvement of lane-marking detection mechanism which is proposed in our previous works. The proposed method collects information of several consecutive image frames to perform identification. The experimental results show that the developed system can effectively identify lane-marking in various driving environment.
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