{"title":"一种用于自动驾驶汽车道路跟踪的鲁棒图像处理方法","authors":"W. Gu, Hui Liu, Hui Wang","doi":"10.1109/ICPR.1992.201651","DOIUrl":null,"url":null,"abstract":"A robust image processing approach used for ALV (autonomous land vehicle) road following is presented. The approach can cope with illumination variation, bad road surface condition such as shadows, defects, dirt and water stains. And it is effective for images of multi-branched road intersections. The approach consists of key techniques: color band automatic selection; adaptive road area segmentation; binary image post-processing and knowledge-based road trend line fitting. The approach is easy to implement in real time because its processing stages can be arranged into a pipeline. A set of experimental results is also presented.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A robust image processing approach used to ALV road following\",\"authors\":\"W. Gu, Hui Liu, Hui Wang\",\"doi\":\"10.1109/ICPR.1992.201651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robust image processing approach used for ALV (autonomous land vehicle) road following is presented. The approach can cope with illumination variation, bad road surface condition such as shadows, defects, dirt and water stains. And it is effective for images of multi-branched road intersections. The approach consists of key techniques: color band automatic selection; adaptive road area segmentation; binary image post-processing and knowledge-based road trend line fitting. The approach is easy to implement in real time because its processing stages can be arranged into a pipeline. A set of experimental results is also presented.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201651\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robust image processing approach used to ALV road following
A robust image processing approach used for ALV (autonomous land vehicle) road following is presented. The approach can cope with illumination variation, bad road surface condition such as shadows, defects, dirt and water stains. And it is effective for images of multi-branched road intersections. The approach consists of key techniques: color band automatic selection; adaptive road area segmentation; binary image post-processing and knowledge-based road trend line fitting. The approach is easy to implement in real time because its processing stages can be arranged into a pipeline. A set of experimental results is also presented.<>
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