{"title":"交通流中移动车辆距离的估计","authors":"Oleg Evstafev, V. Bespalov, Sergey V. Shavetov","doi":"10.1109/CoDIT49905.2020.9263786","DOIUrl":null,"url":null,"abstract":"This work is devoted to estimating the distance between moving cars to prevent dangerous traffic situations. The solution to this problem uses the approach of computer vision and calculating a depth map based on a stereoscopic pair. Using the Viola-Jones algorithm, the system detects vehicles while the vehicle is moving and calculates the distance to the objects moving in front, combining the received information with a depth map.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Estimation of the Distance to Moving Vehicles in a Traffic Stream\",\"authors\":\"Oleg Evstafev, V. Bespalov, Sergey V. Shavetov\",\"doi\":\"10.1109/CoDIT49905.2020.9263786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work is devoted to estimating the distance between moving cars to prevent dangerous traffic situations. The solution to this problem uses the approach of computer vision and calculating a depth map based on a stereoscopic pair. Using the Viola-Jones algorithm, the system detects vehicles while the vehicle is moving and calculates the distance to the objects moving in front, combining the received information with a depth map.\",\"PeriodicalId\":355781,\"journal\":{\"name\":\"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CoDIT49905.2020.9263786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CoDIT49905.2020.9263786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation of the Distance to Moving Vehicles in a Traffic Stream
This work is devoted to estimating the distance between moving cars to prevent dangerous traffic situations. The solution to this problem uses the approach of computer vision and calculating a depth map based on a stereoscopic pair. Using the Viola-Jones algorithm, the system detects vehicles while the vehicle is moving and calculates the distance to the objects moving in front, combining the received information with a depth map.