道路虚拟视觉参考对宽/窄视场驾驶员车辆控制稳定性的影响

A. Utsumi, Tsukasa Mikuni, Isamu Nagasawa
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引用次数: 5

摘要

车辆控制任务的性能在很大程度上取决于驾驶员获取车辆在道路上位置的视觉信息的能力。随着传感和显示技术的进步,通过准确探测车辆的当前位置,并动态地向驾驶员提供反馈,从而有效地协助驾驶员获取信息,从而提高驾驶性能。在本文中,我们使用模拟驾驶研究来研究如何通过呈现虚拟视觉目标来提高驾驶员对车辆的控制。我们还研究了基于驾驶员视野(FOV)的性能增强的个体差异。我们的实验结果表明,虚拟视觉目标的效果改善了车辆控制和眼球运动。我们还展示了窄视场组和宽视场组两组受试者之间的行为差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of on-road virtual visual references on vehicle control stability of wide/narrow FOV drivers
The performance of vehicle control tasks greatly depends on the driver's ability to acquire visual information about the vehicle's location on the road. Advances in sensory and display technologies are making it possible to effectively assist the driver in information acquisition by accurately detecting the vehicle's current location and dynamically providing feedback to the driver to enhance driving performance. In this paper, we use simulated driving studies to investigate how to improve a driver's control of the vehicle by presenting virtual visual targets. We also investigate individual differences in performance enhancement based on the drivers' field of view (FOV). Our experimental results suggest that the effect of virtual visual targets improves vehicle control and eye movement. We also present behavior differences between two subject groups: narrow and wide FOV groups.
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