Improving take-over quality in automated driving by interrupting non-driving tasks

Thomas Köhn, Matthias Gottlieb, M. Schermann, H. Krcmar
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引用次数: 24

Abstract

With automated driving advancing, first production models started to incorporate the technology. However, until full autonomy is achieved, drivers always need to stay available to take over control from the car. This requirement has proven challenging: increased levels of automation reduce drivers' situational awareness and driving performance can suffer, especially in the critical moments after take-over. While manual-driving research introduced strategies to direct drivers' attention back to the road, notably interruptions of the non-driving task, the efficacy of these interventions on automated driving remain unclear. To investigate this, 53 participants drove in an automated simulator while performing tasks on an IVIS. With task interruptions, they reported increased situational awareness and showed improved reaction times during take-over, particularly for low-effort tasks (watching movies). Different to manual driving, halting tasks did not suffice; instead, we displayed the driving scene. Results question effects of situational awareness on take-over and offer solutions for manufacturers.
通过中断非驾驶任务,提高自动驾驶接管质量
随着自动驾驶技术的发展,第一批量产车型开始采用这项技术。然而,在实现完全自动驾驶之前,司机总是需要随时待命,从汽车手中接管控制权。事实证明,这一要求具有挑战性:自动化水平的提高会降低驾驶员的态势感知能力,驾驶性能可能会受到影响,尤其是在接管后的关键时刻。虽然人工驾驶研究引入了一些策略,将驾驶员的注意力引导回道路上,特别是中断非驾驶任务,但这些干预措施对自动驾驶的效果仍不清楚。为了调查这一点,53名参与者在自动模拟器中驾驶,同时在IVIS上执行任务。在任务被打断的情况下,他们的态势感知能力有所提高,在接手工作时的反应时间也有所改善,尤其是在完成低工作量的任务(看电影)时。与手动驾驶不同,停车任务是不够的;相反,我们展示了驾驶场景。结果质疑态势感知对接管的影响,并为厂商提供解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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