{"title":"Interactive simulation platform using processing-based visualization for safe collision-free autonomous driving development","authors":"Dongkyu Lee, Jeonghun Cho, Daejin Park","doi":"10.1109/DESEC.2017.8073886","DOIUrl":null,"url":null,"abstract":"Autonomous driving for maximum throughput of traffic is too complex to cover various cases of exceptions in relation to large-scale cars in city, while still guaranteeing safety of the self-organizing algorithm. In this paper, we present a simulation-integrated interactive visualization platform to enable the fast development of a safe self-organizing driving algorithm. Using the proposed platform, developers describe geographic roads and allocate active cars equipped with specific autonomous algorithms. The cross-coupled simulation result of the self-organized movement of cars is interactively visualized with traffic on roads to show the weakness of the embedded autonomous driving algorithm. We show a demonstration for 1000 cars on 300 junctions of roads and offer a way to accelerate the development of self-organizing control in autonomous cars.","PeriodicalId":92346,"journal":{"name":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","volume":"142 1","pages":"537-538"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DASC-PICom-DataCom-CyberSciTech 2017 : 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing ; 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing ; 2017 IEEE 3rd International...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DESEC.2017.8073886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Autonomous driving for maximum throughput of traffic is too complex to cover various cases of exceptions in relation to large-scale cars in city, while still guaranteeing safety of the self-organizing algorithm. In this paper, we present a simulation-integrated interactive visualization platform to enable the fast development of a safe self-organizing driving algorithm. Using the proposed platform, developers describe geographic roads and allocate active cars equipped with specific autonomous algorithms. The cross-coupled simulation result of the self-organized movement of cars is interactively visualized with traffic on roads to show the weakness of the embedded autonomous driving algorithm. We show a demonstration for 1000 cars on 300 junctions of roads and offer a way to accelerate the development of self-organizing control in autonomous cars.