{"title":"基于坡度的车道偏离预警模型","authors":"Xueting Zheng, Zhengyou Wang, Yanan Zhang, Shanna Zhuang","doi":"10.1109/ICITBE54178.2021.00033","DOIUrl":null,"url":null,"abstract":"This paper presents a vehicle departure warning model based on slope. This model is divided into two levels of judgment conditions. The first layer uses the slope of the lane line as the judgment condition. The second layer uses the relative distance between the center of the vehicle and the lane line as the judgment condition. Judging, the current specific deviation of the vehicle can finally be obtained. The average detection error of this method is within 1 %, the recognition time of each frame of image is 0.06s, and the normal reaction time of a person is between 0.1s 0.5s, so the deviation of the vehicle can be fed back to the driver within the response time of the driver. Terminal, so that the driver has enough time to make emergency measures.","PeriodicalId":207276,"journal":{"name":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lane Departure Warning Model Based on Slope\",\"authors\":\"Xueting Zheng, Zhengyou Wang, Yanan Zhang, Shanna Zhuang\",\"doi\":\"10.1109/ICITBE54178.2021.00033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a vehicle departure warning model based on slope. This model is divided into two levels of judgment conditions. The first layer uses the slope of the lane line as the judgment condition. The second layer uses the relative distance between the center of the vehicle and the lane line as the judgment condition. Judging, the current specific deviation of the vehicle can finally be obtained. The average detection error of this method is within 1 %, the recognition time of each frame of image is 0.06s, and the normal reaction time of a person is between 0.1s 0.5s, so the deviation of the vehicle can be fed back to the driver within the response time of the driver. Terminal, so that the driver has enough time to make emergency measures.\",\"PeriodicalId\":207276,\"journal\":{\"name\":\"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITBE54178.2021.00033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information Technology and Biomedical Engineering (ICITBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITBE54178.2021.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a vehicle departure warning model based on slope. This model is divided into two levels of judgment conditions. The first layer uses the slope of the lane line as the judgment condition. The second layer uses the relative distance between the center of the vehicle and the lane line as the judgment condition. Judging, the current specific deviation of the vehicle can finally be obtained. The average detection error of this method is within 1 %, the recognition time of each frame of image is 0.06s, and the normal reaction time of a person is between 0.1s 0.5s, so the deviation of the vehicle can be fed back to the driver within the response time of the driver. Terminal, so that the driver has enough time to make emergency measures.