Kai Yan, Chaoyue Zhao, Chengkang Shen, Peiyan Wang, Guoqing Wang
{"title":"基于疲劳检测和车道线检测反馈的驾驶员状态监测系统","authors":"Kai Yan, Chaoyue Zhao, Chengkang Shen, Peiyan Wang, Guoqing Wang","doi":"10.1109/MCSoC57363.2022.00035","DOIUrl":null,"url":null,"abstract":"Automobiles have become an indispensable part of life for both business and pleasure in today's society. Because of the long-term continuous work, fatigue presents a great danger to ride-sharing and truck drivers. Therefore, this paper aims to design a device that provides valuable feedback by evaluating driver status and surroundings. A gradient judgment is made through lane detection and face detection. When a dangerous condition is detected, the driver will be alerted by music and audio announcements with different degrees. The system also has two additional functions. First, a digital record-keeping to assist the professional driver. The other is a security system that if a stranger starts the car, a text message will be sent to the owner's phone. Compared with those in previous works, the proposed system's efficacy and efficiency are validated qualitatively and quantitatively in driver fatigue detection.","PeriodicalId":150801,"journal":{"name":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Driver Status Monitoring System with Feedback from Fatigue Detection and Lane Line Detection\",\"authors\":\"Kai Yan, Chaoyue Zhao, Chengkang Shen, Peiyan Wang, Guoqing Wang\",\"doi\":\"10.1109/MCSoC57363.2022.00035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automobiles have become an indispensable part of life for both business and pleasure in today's society. Because of the long-term continuous work, fatigue presents a great danger to ride-sharing and truck drivers. Therefore, this paper aims to design a device that provides valuable feedback by evaluating driver status and surroundings. A gradient judgment is made through lane detection and face detection. When a dangerous condition is detected, the driver will be alerted by music and audio announcements with different degrees. The system also has two additional functions. First, a digital record-keeping to assist the professional driver. The other is a security system that if a stranger starts the car, a text message will be sent to the owner's phone. Compared with those in previous works, the proposed system's efficacy and efficiency are validated qualitatively and quantitatively in driver fatigue detection.\",\"PeriodicalId\":150801,\"journal\":{\"name\":\"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)\",\"volume\":\"204 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSoC57363.2022.00035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSoC57363.2022.00035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Driver Status Monitoring System with Feedback from Fatigue Detection and Lane Line Detection
Automobiles have become an indispensable part of life for both business and pleasure in today's society. Because of the long-term continuous work, fatigue presents a great danger to ride-sharing and truck drivers. Therefore, this paper aims to design a device that provides valuable feedback by evaluating driver status and surroundings. A gradient judgment is made through lane detection and face detection. When a dangerous condition is detected, the driver will be alerted by music and audio announcements with different degrees. The system also has two additional functions. First, a digital record-keeping to assist the professional driver. The other is a security system that if a stranger starts the car, a text message will be sent to the owner's phone. Compared with those in previous works, the proposed system's efficacy and efficiency are validated qualitatively and quantitatively in driver fatigue detection.