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

机译:检查高自动化车辆外部HMI的多方法研究

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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:其他道路使用者是否会知道如何与高度自动化和无人驾驶的车辆(HAV)安全有效地交互,尤其是在不确定的情况下,例如转弯和倾斜交叉路口?我们着眼于互动性强的城市环境,研究了当今驾驶员,行人,骑自行车的人和摩托车手的行车习惯。基于这些现场研究的结果,我们一直在开发和测试使用外部人机界面来传达意图的概念。在本文中,我们基于一项多方法研究计划对这项工作进行了总结。

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