{"title":"Concept of transferring control to a driver in highly automated cars","authors":"V. Savchenko, S. Poddubko","doi":"10.29235/1561-8323-2020-64-5-624-631","DOIUrl":null,"url":null,"abstract":"From an interdisciplinary point of view, on the basis of a systematic approach, the concept of transferring control to a driver in highly automated vehicles was first formulated, which allows one to determine the potential possibility of regaining control of a highly automated car based on its awareness of the situational situation along the route of movement and monitoring of the current functional state, including readiness for emergency actions, and individual features of the driver. The classification of cross-modal information flows in highly automated and autonomous cars is presented. The definition of cross-modal interaction in highly automated vehicles is given, and the goal of analyzing heterogeneous information flows in on-board vehicle systems is formulated, where automatic analysis of heterogeneous information flows gives a synergistic effect. Examples of relevant driver information are provided. ","PeriodicalId":11227,"journal":{"name":"Doklady Akademii nauk","volume":"50 1","pages":"624-631"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Doklady Akademii nauk","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29235/1561-8323-2020-64-5-624-631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
From an interdisciplinary point of view, on the basis of a systematic approach, the concept of transferring control to a driver in highly automated vehicles was first formulated, which allows one to determine the potential possibility of regaining control of a highly automated car based on its awareness of the situational situation along the route of movement and monitoring of the current functional state, including readiness for emergency actions, and individual features of the driver. The classification of cross-modal information flows in highly automated and autonomous cars is presented. The definition of cross-modal interaction in highly automated vehicles is given, and the goal of analyzing heterogeneous information flows in on-board vehicle systems is formulated, where automatic analysis of heterogeneous information flows gives a synergistic effect. Examples of relevant driver information are provided.