{"title":"基于YOLOv4和ViSLAM的智能车辆自动识别系统","authors":"Chenzhi Nie, Wei-teng Lin, Xiuwen Zheng","doi":"10.31686/ijier.vol11.iss5.4118","DOIUrl":null,"url":null,"abstract":"In this paper, we use intelligent vehicles as the platform and use convolutional neural networks for lane recognition and classification during driving. For the recognition of landmarks, we use YOLOv4, a popular YOLO series algorithm, as the model for recognition. At the same time, we study and explore intelligent vehicle mapping and positioning technology based on the SLAM framework in a laboratory working environment with weak signals.","PeriodicalId":13726,"journal":{"name":"International journal for innovation education and research","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Vehicle Automatic Identification System Based on YOLOv4 and ViSLAM\",\"authors\":\"Chenzhi Nie, Wei-teng Lin, Xiuwen Zheng\",\"doi\":\"10.31686/ijier.vol11.iss5.4118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we use intelligent vehicles as the platform and use convolutional neural networks for lane recognition and classification during driving. For the recognition of landmarks, we use YOLOv4, a popular YOLO series algorithm, as the model for recognition. At the same time, we study and explore intelligent vehicle mapping and positioning technology based on the SLAM framework in a laboratory working environment with weak signals.\",\"PeriodicalId\":13726,\"journal\":{\"name\":\"International journal for innovation education and research\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal for innovation education and research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31686/ijier.vol11.iss5.4118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal for innovation education and research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31686/ijier.vol11.iss5.4118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Vehicle Automatic Identification System Based on YOLOv4 and ViSLAM
In this paper, we use intelligent vehicles as the platform and use convolutional neural networks for lane recognition and classification during driving. For the recognition of landmarks, we use YOLOv4, a popular YOLO series algorithm, as the model for recognition. At the same time, we study and explore intelligent vehicle mapping and positioning technology based on the SLAM framework in a laboratory working environment with weak signals.
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