{"title":"一种用于驾驶员困倦检测的混合观测器方法","authors":"Gianni Cario, A. Casavola, G. Franzé, Marco Lupia","doi":"10.1109/MED.2011.5983154","DOIUrl":null,"url":null,"abstract":"This paper discusses an algorithm for driver drowsiness detection based on the theory of hybrid observers. A hybrid observer is designed on the basis of a driver's model whose parameters change according to the assumed drowsiness levels which are identified on-line from measurements of relevant vehicle signals. Simulations have been undertaken with Carsim to verify the capability of the proposed methodology to correctly identify on-line the current driver's drowsiness level.","PeriodicalId":146203,"journal":{"name":"2011 19th Mediterranean Conference on Control & Automation (MED)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A hybrid observer approach for driver drowsiness detection\",\"authors\":\"Gianni Cario, A. Casavola, G. Franzé, Marco Lupia\",\"doi\":\"10.1109/MED.2011.5983154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses an algorithm for driver drowsiness detection based on the theory of hybrid observers. A hybrid observer is designed on the basis of a driver's model whose parameters change according to the assumed drowsiness levels which are identified on-line from measurements of relevant vehicle signals. Simulations have been undertaken with Carsim to verify the capability of the proposed methodology to correctly identify on-line the current driver's drowsiness level.\",\"PeriodicalId\":146203,\"journal\":{\"name\":\"2011 19th Mediterranean Conference on Control & Automation (MED)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 19th Mediterranean Conference on Control & Automation (MED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2011.5983154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th Mediterranean Conference on Control & Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2011.5983154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A hybrid observer approach for driver drowsiness detection
This paper discusses an algorithm for driver drowsiness detection based on the theory of hybrid observers. A hybrid observer is designed on the basis of a driver's model whose parameters change according to the assumed drowsiness levels which are identified on-line from measurements of relevant vehicle signals. Simulations have been undertaken with Carsim to verify the capability of the proposed methodology to correctly identify on-line the current driver's drowsiness level.