{"title":"用于自动驾驶的实时视觉处理","authors":"M. Nashman, Henry Schneiderman","doi":"10.1109/IVS.1993.697355","DOIUrl":null,"url":null,"abstract":"This paper describes a visual processing algorithm that supports autonomous road following. The algorithm requires that lane markings be present and attempts to track the lane markings on both lane boundaries. The algorithm has been used as part of a complete system to drive an autonomous vehicle, the High Mobility Multipurpose Wheeled Vehicle (HMMWV).","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Real-time Visual Processing For Autonomous Driving\",\"authors\":\"M. Nashman, Henry Schneiderman\",\"doi\":\"10.1109/IVS.1993.697355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a visual processing algorithm that supports autonomous road following. The algorithm requires that lane markings be present and attempts to track the lane markings on both lane boundaries. The algorithm has been used as part of a complete system to drive an autonomous vehicle, the High Mobility Multipurpose Wheeled Vehicle (HMMWV).\",\"PeriodicalId\":283697,\"journal\":{\"name\":\"Proceedings of the Intelligent Vehicles '93 Symposium\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Intelligent Vehicles '93 Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.1993.697355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Intelligent Vehicles '93 Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.1993.697355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time Visual Processing For Autonomous Driving
This paper describes a visual processing algorithm that supports autonomous road following. The algorithm requires that lane markings be present and attempts to track the lane markings on both lane boundaries. The algorithm has been used as part of a complete system to drive an autonomous vehicle, the High Mobility Multipurpose Wheeled Vehicle (HMMWV).