{"title":"有效及智能的驾驶辅助及警告系统,确保行车安全","authors":"Suresh Kumar Thirupuranthakam, A. Negi","doi":"10.1109/ICVES.2014.7063721","DOIUrl":null,"url":null,"abstract":"A brand new vehicle's operational safety as compared to a vehicle in service for several years is expected to be better. As a vehicle ages, sustained operational safety of the driver, passengers and the vehicle are of at most importance. In this paper, we shall view from a systems perspective, the parameters that account for the vehicle deterioration and present an analysis to determine the vehicle safety particularly at high speeds. Based on the analysis, a framework using neural networks and a rule based system is presented for enhancing the driver's ability to perceive danger.","PeriodicalId":248904,"journal":{"name":"2014 IEEE International Conference on Vehicular Electronics and Safety","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An effective and intelligent driver assistance and warning system for sustained safety\",\"authors\":\"Suresh Kumar Thirupuranthakam, A. Negi\",\"doi\":\"10.1109/ICVES.2014.7063721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A brand new vehicle's operational safety as compared to a vehicle in service for several years is expected to be better. As a vehicle ages, sustained operational safety of the driver, passengers and the vehicle are of at most importance. In this paper, we shall view from a systems perspective, the parameters that account for the vehicle deterioration and present an analysis to determine the vehicle safety particularly at high speeds. Based on the analysis, a framework using neural networks and a rule based system is presented for enhancing the driver's ability to perceive danger.\",\"PeriodicalId\":248904,\"journal\":{\"name\":\"2014 IEEE International Conference on Vehicular Electronics and Safety\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Vehicular Electronics and Safety\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVES.2014.7063721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Vehicular Electronics and Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2014.7063721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An effective and intelligent driver assistance and warning system for sustained safety
A brand new vehicle's operational safety as compared to a vehicle in service for several years is expected to be better. As a vehicle ages, sustained operational safety of the driver, passengers and the vehicle are of at most importance. In this paper, we shall view from a systems perspective, the parameters that account for the vehicle deterioration and present an analysis to determine the vehicle safety particularly at high speeds. Based on the analysis, a framework using neural networks and a rule based system is presented for enhancing the driver's ability to perceive danger.