新型汽车灯配置:基于计算机的感知效率评估

P. Veto
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引用次数: 0

摘要

对行人和骑自行车的人的感知研究表明,在现实交通场景中,突出道路使用者最具信息量的特征可以提高能见度。随着汽车车灯配置的技术限制越来越少,原型车在美学设计的驱动下呈现出新颖的布局。这些进步也可以用来帮助感知过程吗?我们在一个基于计算机的视觉搜索实验中测试了这个问题。采用常规(REG)或轮廓增强(CON)前照灯配置的摩托车和汽车的正面视图的3D渲染图像被编译成场景,模拟夜间交通中的拥挤效应。在任何一种情况下的28辆汽车中,通过可辨别性、反应时间和眼动测量来量化寻找目标摩托车的知觉表现(出现在所有试验的2/3)。在CON和REG试验中,所有的测量都显示出显著的感知优势。结果表明,通过突出车辆的相关特征来促进交通中物体的感知,可以提高视觉表现的速度和辨别能力。此外,眼动效率的提高可能会减少疲劳。类似的方法,通过在保真度和低级控制之间的不同权衡比率,可以应用于设计最理想的交通安全灯配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel Automotive Lamp Configurations: Computer-Based Assessment of Perceptual Efficiency
Perceptual studies on pedestrians and bicyclists have shown that highlighting the most informative features of the road user increases visibility in real-life traffic scenarios. As technological limitations on automotive lamp configurations are decreasing, prototypes display novel layouts driven by aesthetic design. Could these advances also be used to aid perceptual processes? We tested this question in a computer-based visual search experiment. 3D rendered images of the frontal view of a motorbike and of a car with regular (REG) or contour enhancing (CON) headlamp configurations were compiled into scenes, simulating the crowding effect in night-time traffic. Perceptual performance in finding a target motorbike (present in 2/3 of all trials) among 28 cars of either condition was quantified through discriminability, reaction time, and eye movement measures. All measures showed a significant perceptual advantage in CON vs REG trials. Results suggest that facilitating object perception in traffic by highlighting relevant features of vehicles could increase visual performance in both speed and discriminability. Furthermore, the associated gain in eye movement efficiency may decrease fatigue. Similar methods, with varying trade-off ratios between fidelity and low-level control, could be applied to design the most ideal lamp configuration for traffic safety.
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