一项基于视频的研究,比较自动驾驶汽车和行人之间的通信方式

Chia-Ming Chang, Koki Toda, Takeo Igarashi, Masahiro Miyata, Yasuhiro Kobayashi
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引用次数: 46

摘要

自动驾驶汽车和行人之间的通信需求越来越大。为了解决这个问题,已经提出了一些概念性的解决方案,比如在汽车上使用各种交流方式(眼睛、微笑、文字、灯光和投影仪)与行人交流。然而,目前还没有详细的研究来比较这些交流方式。在这项研究中,我们通过视频实验比较了行人过马路情况下的五种模式。结果表明,文本比其他方式更能表达汽车对行人的意图。此外,我们比较了不同场景和环境下的模态,以及行人对模态的感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Video-based Study Comparing Communication Modalities between an Autonomous Car and a Pedestrian
There are increasing needs in communication between an autonomous car and a pedestrian. Some conceptual solutions have been proposed to solve this issue, such as using various communication modalities (eyes, smile, text, light and projector) on a car to communicate with pedestrians. However, there is no detailed study in comparing these communication modalities. In this study, we compare five modalities in a pedestrian street-crossing situation via a video experiment. The results show that a text is better than other modalities to express car's intention to pedestrians. In addition, we compare the modalities in different scenarios and environments as well as pedestrian's perception of the modalities.
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