{"title":"Keynote 1: The road to resilient computing in autonomous driving is paved with redundancy","authors":"N. Saxena, S. Mathew, K. Saraswat","doi":"10.1109/IRPS.2018.8353536","DOIUrl":null,"url":null,"abstract":"Deep neural networks use the computational power of massively parallel processors in applications such as autonomous driving. Autonomous driving demands resiliency (as in safety and reliability) and trillions of operations per second of computing performance to process sensor data with extreme accuracy. This keynote examines various approaches to achieve resiliency in autonomous cars and makes the case for design diversity based redundancy.","PeriodicalId":6387,"journal":{"name":"2000 IEEE International Reliability Physics Symposium Proceedings. 38th Annual (Cat. No.00CH37059)","volume":"8 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Reliability Physics Symposium Proceedings. 38th Annual (Cat. No.00CH37059)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRPS.2018.8353536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Deep neural networks use the computational power of massively parallel processors in applications such as autonomous driving. Autonomous driving demands resiliency (as in safety and reliability) and trillions of operations per second of computing performance to process sensor data with extreme accuracy. This keynote examines various approaches to achieve resiliency in autonomous cars and makes the case for design diversity based redundancy.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
