{"title":"基于AdTM的盲区避碰跟踪","authors":"M. Krips, J. Velten, A. Kummert, A. Teuner","doi":"10.1109/IVS.2004.1336442","DOIUrl":null,"url":null,"abstract":"Road traffic hazards typically occur on motorways during lane change, if another vehicle besides the own one has been overlooked. This can happen easily, if the other vehicle is in the blind spot and the driver has not assured accurately that there is no other vehicle alongside. In this paper, a tracking method for vehicles approaching from the rear is described. They are classified as potential targets by means of a shadow based classification algorithm.","PeriodicalId":296386,"journal":{"name":"IEEE Intelligent Vehicles Symposium, 2004","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"AdTM tracking for blind spot collision avoidance\",\"authors\":\"M. Krips, J. Velten, A. Kummert, A. Teuner\",\"doi\":\"10.1109/IVS.2004.1336442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Road traffic hazards typically occur on motorways during lane change, if another vehicle besides the own one has been overlooked. This can happen easily, if the other vehicle is in the blind spot and the driver has not assured accurately that there is no other vehicle alongside. In this paper, a tracking method for vehicles approaching from the rear is described. They are classified as potential targets by means of a shadow based classification algorithm.\",\"PeriodicalId\":296386,\"journal\":{\"name\":\"IEEE Intelligent Vehicles Symposium, 2004\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Intelligent Vehicles Symposium, 2004\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2004.1336442\",\"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 Intelligent Vehicles Symposium, 2004","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2004.1336442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Road traffic hazards typically occur on motorways during lane change, if another vehicle besides the own one has been overlooked. This can happen easily, if the other vehicle is in the blind spot and the driver has not assured accurately that there is no other vehicle alongside. In this paper, a tracking method for vehicles approaching from the rear is described. They are classified as potential targets by means of a shadow based classification algorithm.
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