ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 Transitions from Autopilot to Manual Control in Highly Automated Driving: Cognitive Simulations
Cited 2 time in scopus Download 5 time Share share facebook twitter linkedin kakaostory
김우진, 김현숙, 이승준, 김정숙, 윤대섭
Connected and Automated Vehicles Symposium (CAVS) 2018, pp.1-5
18GH1100, 자율주행자동차(SAE 레벨 2,3) 기반 인적요인 심층 연구, 윤대섭
The recent advances in automated vehicle technologies are expected to contribute to driving safety by reducing human error. Especially in highly automated vehicles, the driver's role is emphasized because of the control mode transition between automated and manual driving. When the control mode changes from automated to manual mode, it is important that the driver is ready to regain control. In this context, we analyze the effect of driver's cognitive status on the transition of control authority from the viewpoint of workload and user experience. With cognitive simulations using biological cognition models,it is possible to determine the relationship between visual stimuli and motion response. From the results, we develop several claims for control-authority transition.
KSP 제안 키워드
Control mode transition, Highly automated vehicles, Human error, Mode change, Motion response, Transition of Control, control authority, driving safety, highly automated driving, manual control, manual driving