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Transitions from Autopilot to Manual Control in Highly Automated Driving: Cognitive Simulations

机译:从自动化驾驶中的AutoPilot转换到手动控制:认知模拟

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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.
机译:预计自动化车辆技术的最近进步将通过减少人类误差来促进安全性。 特别是在高度自动化的车辆中,由于自动化和手动驾驶之间的控制模式过渡,强调了驾驶员的作用。 当控制模式从自动化到手动模式发生变化时,驾驶员准备重新获得控制是重要的。 在这种情况下,从工作量和用户体验的角度来看,我们分析了驾驶员认知状态对控制权转换的影响。 利用生物认知模型的认知模拟,可以确定视觉刺激和运动响应之间的关系。 从结果中,我们开发了若干控制权转型的索赔。

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