{"title":"自主导航公路车道边界确定","authors":"Salah G. Foda, Amer K. Dawoud","doi":"10.1109/PACRIM.2001.953728","DOIUrl":null,"url":null,"abstract":"The design and implementation of a vision based multilane-highway lane recognition system is presented. The required result from the system is to recognize the lane through which a test vehicle is driving by determining its left and right lane boundaries. When the proposed lane recognition system was tested it showed a very high percentage of correct results in very difficult situations which suggests that it provides the foundation for a reliable road following system.","PeriodicalId":261724,"journal":{"name":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Highway lane boundary determination for autonomous navigation\",\"authors\":\"Salah G. Foda, Amer K. Dawoud\",\"doi\":\"10.1109/PACRIM.2001.953728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design and implementation of a vision based multilane-highway lane recognition system is presented. The required result from the system is to recognize the lane through which a test vehicle is driving by determining its left and right lane boundaries. When the proposed lane recognition system was tested it showed a very high percentage of correct results in very difficult situations which suggests that it provides the foundation for a reliable road following system.\",\"PeriodicalId\":261724,\"journal\":{\"name\":\"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.2001.953728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (IEEE Cat. No.01CH37233)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.2001.953728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Highway lane boundary determination for autonomous navigation
The design and implementation of a vision based multilane-highway lane recognition system is presented. The required result from the system is to recognize the lane through which a test vehicle is driving by determining its left and right lane boundaries. When the proposed lane recognition system was tested it showed a very high percentage of correct results in very difficult situations which suggests that it provides the foundation for a reliable road following system.