Did You See Me?: Assessing Perceptual vs. Real Driving Gains Across Multi-Modal Pedestrian Alert Systems

Coleman Merenda, Hyungil Kim, Joseph L. Gabbard, Samantha Leong, D. Large, G. Burnett
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引用次数: 14

Abstract

In-vehicle support systems have the potential to reduce the risk of pedestrian collisions and promote gains in braking performance and visual attention when scanning for threats on the road. This study investigated changes in driver behavior in pedestrian collision scenarios with increasing urgency while using varying levels of pedestrian alert system (PAS) support in a medium fidelity driving simulator. During pedestrian collision scenarios, we assessed drivers' eye gaze behavior, braking performance, and acceptance ratings across three levels of PAS and four levels of increasing urgency, defined as time to collision (TTC). Results suggest that both audio- and visually-based PAS do not produce gains in the localization of pedestrians, but can nevertheless improve drivers' braking performance in events where pedestrians may pose a threat. Our results further suggest that drivers exhibit both innate and direct confidence in visually-based PAS support, despite no concurrent gains in visual scanning performance.
你看见我了吗?评估感知与真实驾驶收益跨多模态行人警报系统
车载辅助系统有可能降低行人碰撞的风险,并在扫描道路上的威胁时提高制动性能和视觉注意力。本研究在中保真度驾驶模拟器中使用不同级别的行人警报系统(PAS)支持,调查了行人碰撞场景中驾驶员行为的变化。在行人碰撞场景中,我们评估了驾驶员的眼睛注视行为、制动性能和接受评级,包括三个级别的PAS和四个级别的紧急程度,定义为碰撞时间(TTC)。结果表明,基于音频和视觉的PAS都不能提高行人的定位,但在行人可能构成威胁的情况下,可以提高驾驶员的制动性能。我们的研究结果进一步表明,尽管视觉扫描性能没有同时提高,但驾驶员对基于视觉的PAS支持表现出先天和直接的信心。
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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