B. V. Kumar, K. K. Srinivas, P. Anudeep, N. Yadav, G. Kumar, P. A. Harsha Vardhini
{"title":"Artificial Intelligence Based Algorithms for Driver Distraction Detection: A Review","authors":"B. V. Kumar, K. K. Srinivas, P. Anudeep, N. Yadav, G. Kumar, P. A. Harsha Vardhini","doi":"10.1109/ISPCC53510.2021.9609349","DOIUrl":null,"url":null,"abstract":"World Health Organization gave a report global road safety. Road accidents have turned to be more dangerous and they became the eighth most important reason for death. Out of this one fifth of them are caused due to the negligence of the driver. We discuss about the different types of algorithms which are more efficient based on the features that are detected by the algorithms. Comparison of algorithms is done to know the algorithms which work well for the specific set features detection. In driver distraction, there are many features like pupil diameter, hands location, head location etc., which are needed to be detected and predict the type of distraction. Each algorithm uses different kind of Artificial Intelligence models and does the predictions based on the features.","PeriodicalId":113266,"journal":{"name":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPCC53510.2021.9609349","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
World Health Organization gave a report global road safety. Road accidents have turned to be more dangerous and they became the eighth most important reason for death. Out of this one fifth of them are caused due to the negligence of the driver. We discuss about the different types of algorithms which are more efficient based on the features that are detected by the algorithms. Comparison of algorithms is done to know the algorithms which work well for the specific set features detection. In driver distraction, there are many features like pupil diameter, hands location, head location etc., which are needed to be detected and predict the type of distraction. Each algorithm uses different kind of Artificial Intelligence models and does the predictions based on the features.