{"title":"基于视觉的车载单元，用于不注意驾驶警告和汽车跟随控制","authors":"T. Chang, Chieh-Chih Wang","doi":"10.1109/IVS.2010.5548064","DOIUrl":null,"url":null,"abstract":"In this study, we develop an low-cost Advanced Safety Vehicle (ASV) onboard unit that integrates driving warning and car-following control systems on a vision-based platform for laboratory and real-time experiments. This onboard unit mainly consists of three systems including the lateral departure warning System (LDWS), the forward vehicle collision warning system (FVCWS), and the adaptive car-following control system. This onboard system has been validated in laboratory experiments that we have higher than 95% accuracy among 76 tested scenarios. In addition, the results of total 2000-kilometer real-time field tests indicate the characteristics of high accuracy and low false alarm, and further demonstrate the robustness of the proposed system.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":" 36","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Vision-based onboard unit for inattentive driving warning and car-following control\",\"authors\":\"T. Chang, Chieh-Chih Wang\",\"doi\":\"10.1109/IVS.2010.5548064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we develop an low-cost Advanced Safety Vehicle (ASV) onboard unit that integrates driving warning and car-following control systems on a vision-based platform for laboratory and real-time experiments. This onboard unit mainly consists of three systems including the lateral departure warning System (LDWS), the forward vehicle collision warning system (FVCWS), and the adaptive car-following control system. This onboard system has been validated in laboratory experiments that we have higher than 95% accuracy among 76 tested scenarios. In addition, the results of total 2000-kilometer real-time field tests indicate the characteristics of high accuracy and low false alarm, and further demonstrate the robustness of the proposed system.\",\"PeriodicalId\":123266,\"journal\":{\"name\":\"2010 IEEE Intelligent Vehicles Symposium\",\"volume\":\" 36\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Intelligent Vehicles Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2010.5548064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2010.5548064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vision-based onboard unit for inattentive driving warning and car-following control
In this study, we develop an low-cost Advanced Safety Vehicle (ASV) onboard unit that integrates driving warning and car-following control systems on a vision-based platform for laboratory and real-time experiments. This onboard unit mainly consists of three systems including the lateral departure warning System (LDWS), the forward vehicle collision warning system (FVCWS), and the adaptive car-following control system. This onboard system has been validated in laboratory experiments that we have higher than 95% accuracy among 76 tested scenarios. In addition, the results of total 2000-kilometer real-time field tests indicate the characteristics of high accuracy and low false alarm, and further demonstrate the robustness of the proposed system.
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