{"title":"Symbolic Road Perception-based Autonomous Driving in Urban Environments","authors":"Mike Foedisch, R. Madhavan, C. Schlenoff","doi":"10.1109/AIPR.2006.38","DOIUrl":null,"url":null,"abstract":"Our previous work on road detection for autonomous road vehicles suggests the usage of high-level symbolic knowledge about the road structure. In this paper, we present our new approach to symbolic road recognition. We explain feature extraction, model representation, and the tree search-based matching processes and discuss performance evaluation results.","PeriodicalId":375571,"journal":{"name":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2006.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Our previous work on road detection for autonomous road vehicles suggests the usage of high-level symbolic knowledge about the road structure. In this paper, we present our new approach to symbolic road recognition. We explain feature extraction, model representation, and the tree search-based matching processes and discuss performance evaluation results.
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