{"title":"Design of An Intelligent Autonomous Accident Prevention, Detection And Vehicle Monitoring System","authors":"Md Habib Ullah Khan, M. K. Howlader","doi":"10.1109/RAAICON48939.2019.6263505","DOIUrl":null,"url":null,"abstract":"In modern days, vehicles are one of the most indispensable transportation medium. With the increase of vehicles in the roads, incidents of accidents are also increasing for various reasons. Although in last few decades, driver assistance and safety system has been upgraded significantly, still the possibility of accident cannot be discarded. Real time detection including tracing down of accident spot is vital for swift rescue operation. Therefore, in this work a low priced Arduino uno and nano based automatic accident prevention, post accidental rescue and a black-box system has been developed. This system will allow the drivers to avoid accident. In worst case scenario, if the accident is inevitable, it will help the rescue team through providing accurate location of the accident spot.","PeriodicalId":102214,"journal":{"name":"2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAAICON48939.2019.6263505","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In modern days, vehicles are one of the most indispensable transportation medium. With the increase of vehicles in the roads, incidents of accidents are also increasing for various reasons. Although in last few decades, driver assistance and safety system has been upgraded significantly, still the possibility of accident cannot be discarded. Real time detection including tracing down of accident spot is vital for swift rescue operation. Therefore, in this work a low priced Arduino uno and nano based automatic accident prevention, post accidental rescue and a black-box system has been developed. This system will allow the drivers to avoid accident. In worst case scenario, if the accident is inevitable, it will help the rescue team through providing accurate location of the accident spot.