A Systematic Study of Pedestrian Contrast and Detection From Vehicle Headlights

F. Bayan, T. Timbario, Jonathan D. Nelson, Stuart Sheldon, Ronny Wahba, Brandon Keys
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Abstract

An important factor in evaluating the visibility of pedestrians at night is the contrast they offer an observer. This paper investigates and quantifies the influence of various parameters on contrast. An experiment was conducted using pedestrians and surrogate human models positioned along a grid in relation to the illuminated headlights of vehicles positioned on a dry asphalt roadway with no additional overhead lighting. As part of this experiment, headlight illuminance was mapped, and pedestrian luminance data were comprehensively collected to provide parametric data necessary to evaluate patterns affecting contrast. Luminance and illuminance data are presented in the form of three-dimensional plots and further related to visibility levels using the Adrian model. The results of this study highlight and quantify important factors present in night visibility of pedestrians. These include position of the pedestrian both longitudinally and laterally, reflectivity of the clothing, vertical variations in luminance and illuminance, the background, and headlamp characteristics. They emphasize that three-dimensional modeling of headlight illuminance and pedestrian luminance enhances the understanding of pedestrian contrast and visibility.
车辆前灯行人对比与检测的系统研究
评估夜间行人能见度的一个重要因素是他们提供给观察者的对比。本文研究并量化了各种参数对对比度的影响。在一项实验中,行人和替代人体模型被放置在一个网格上,与放置在没有额外顶灯的干燥沥青道路上的车辆的照明前灯相关。作为实验的一部分,我们绘制了前照灯照度图,并全面收集了行人照度数据,为评估影响对比度的模式提供了必要的参数数据。亮度和照度数据以三维图的形式呈现,并使用Adrian模型进一步与能见度水平相关。本研究的结果突出并量化了影响行人夜间能见度的重要因素。这些包括行人的纵向和横向位置、衣服的反射率、亮度和照度的垂直变化、背景和前照灯特征。他们强调,前照灯照度和行人照度的三维建模可以增强对行人对比度和能见度的理解。
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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