{"title":"我可以进入环岛吗?基于立体视觉的接触时间计算","authors":"M. Muffert, Timo Milbich, D. Pfeiffer, Uwe Franke","doi":"10.1109/IVS.2012.6232178","DOIUrl":null,"url":null,"abstract":"This paper presents a stereo-vision based system for the recognition of dangerous situations at roundabouts. At first, we investigate the necessary field of view and viewing direction using videos taken by a panoramic camera. Using the insights of these tests we build up a stereo-vision system. This system is based on the well established disparity estimation scheme Semi-Global Matching and the recently introduced medium-level representation called Dynamic Stixel-World. A time-to-contact measure is defined that makes explicit use of the roundabouts structural characteristics. Using this measure enables us to create a system for driver warning or possible automated intervention. Our empirical studies reveal that the warning decision correctly mimics human driver decisions.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"May I enter the roundabout? A time-to-contact computation based on stereo-vision\",\"authors\":\"M. Muffert, Timo Milbich, D. Pfeiffer, Uwe Franke\",\"doi\":\"10.1109/IVS.2012.6232178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a stereo-vision based system for the recognition of dangerous situations at roundabouts. At first, we investigate the necessary field of view and viewing direction using videos taken by a panoramic camera. Using the insights of these tests we build up a stereo-vision system. This system is based on the well established disparity estimation scheme Semi-Global Matching and the recently introduced medium-level representation called Dynamic Stixel-World. A time-to-contact measure is defined that makes explicit use of the roundabouts structural characteristics. Using this measure enables us to create a system for driver warning or possible automated intervention. Our empirical studies reveal that the warning decision correctly mimics human driver decisions.\",\"PeriodicalId\":402389,\"journal\":{\"name\":\"2012 IEEE Intelligent Vehicles Symposium\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Intelligent Vehicles Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2012.6232178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2012.6232178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
May I enter the roundabout? A time-to-contact computation based on stereo-vision
This paper presents a stereo-vision based system for the recognition of dangerous situations at roundabouts. At first, we investigate the necessary field of view and viewing direction using videos taken by a panoramic camera. Using the insights of these tests we build up a stereo-vision system. This system is based on the well established disparity estimation scheme Semi-Global Matching and the recently introduced medium-level representation called Dynamic Stixel-World. A time-to-contact measure is defined that makes explicit use of the roundabouts structural characteristics. Using this measure enables us to create a system for driver warning or possible automated intervention. Our empirical studies reveal that the warning decision correctly mimics human driver decisions.