汽车旅行中多模式晕车检测和缓解方法研讨会

Katharina Margareta Theresa Pöhlmann, Gang Li, Abhraneil Dam, Yu-Kai Wang, Chun-Shu Wei, A. Brietzke, G. Papaioannou
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引用次数: 1

摘要

在不久的将来,自动驾驶汽车的大规模采用将有利于安全(乘客和行人)、环境(低排放)和社会(可达性、按需出行)。然而,仍有一些挑战需要解决,其中最重要的是晕动病。在自动驾驶车辆中,内部可以转变为客厅或工作空间,允许居住者将时间花在非驾驶活动上。这些变化很可能引起并增加晕动病的发病率。为此,本次研讨会将通过专家讲座和反思,探讨晕动病检测和缓解方法的现状,从不同的角度(如闭环检测,多模态运动线索等),然后进行讨论。研讨会将为自动驾驶汽车的晕动病研究制定议程,促进新的研究思路和富有成效的合作。
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Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys
The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior could be transformed into a living room or a working space, allowing occupants to spend their time with non-driving activities. These changes are likely to provoke, and increase, motion sickness incidence. To that end, this workshop will explore the current state of motion sickness detection and mitigation methods from different angles (e.g., closed-loop detection, multimodal motion cues,etc.) through expert talks and reflections, followed by discussions. The workshop will develop an agenda for motion sickness research in automated vehicles, facilitate new research ideas and fruitful collaborations.
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