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Multi-methods Research to Examine External HMI for Highly Automated Vehicles

机译:多种方法研究,用于检查高自动化车辆的外部HMI

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摘要

Will other road users know how to interact safely and effectively with highly automated and driverless vehicles (HAV's), especially in situations where there may he uncertainly, such as turn-taking and slop intersections? Focusing on interaction-rich, urban contexts, we studied roadway practices among todays' drivers, pedestrians, bicyclists, and motorcyclists. Based on results from these field studies, we have been developing and testing concepts for using external Human-Machine Interfaces to signal intent. In this paper we provide a summary of this work based on a multi-methods program of research.
机译:其他道路用户是否知道如何使用高度自动化和无人驾驶的车辆(HAV的)安全有效地互动,尤其是在可能不确定的情况下,如轮式和雪橇交叉点?专注于富裕的城市环境,我们研究了今天的司机,行人,骑自行车的人和摩托车手之间的道路实践。根据这些实地研究的结果,我们一直在开发和测试使用外部人机接口来信号意图的概念。在本文中,我们根据多方法的研究计划提供这项工作的摘要。

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