{"title":"基于场景切片分析的车道检测与跟踪","authors":"Lin Ma, N. Zheng, F. Mu, Hong Cheng","doi":"10.1109/ICVES.2005.1563657","DOIUrl":null,"url":null,"abstract":"A new concept about the road recognition problem, slice coherence comparability, is defined in this paper. A novel road model, generatrix-slice model, is proposed on this conception. Based on the numerical analysis of slice coherence comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Scene slice analysis based lane detection and tracking\",\"authors\":\"Lin Ma, N. Zheng, F. Mu, Hong Cheng\",\"doi\":\"10.1109/ICVES.2005.1563657\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new concept about the road recognition problem, slice coherence comparability, is defined in this paper. A novel road model, generatrix-slice model, is proposed on this conception. Based on the numerical analysis of slice coherence comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.\",\"PeriodicalId\":443433,\"journal\":{\"name\":\"IEEE International Conference on Vehicular Electronics and Safety, 2005.\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Vehicular Electronics and Safety, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVES.2005.1563657\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2005.1563657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scene slice analysis based lane detection and tracking
A new concept about the road recognition problem, slice coherence comparability, is defined in this paper. A novel road model, generatrix-slice model, is proposed on this conception. Based on the numerical analysis of slice coherence comparability, the robustness of the lane detection and tracking is improved in evidence. The experiments show that this method is robust on various road types.