【摘要】 为解决目前眼点分布试验统计成本高、其应用受人体和车型尺寸变化影响等问题,提出了仿真获得眼点分布的方法。利用美国人体数据,采用蒙特卡罗仿真方法建立了男、女和混合人群3组大样本人群数据;基于6辆实车布置参数,利用级联预测(CPM)模型仿真了眼点分布;针对眼点分布参数随车型的变化进行了统计分析。与按照SAE标准方法得到的结果对比表明,本文的方法切实可行,为准确面向不同车型和人群进行视野设计与分析时计算眼点分布提供了解决方案。更多还原

【Abstract】 In view of the present problem of the high cost in acquiring the eye point distribution by empirical statistical method, and the problem of the poor usability of the eye point distribution caused by the variation of the population anthropometry and vehicle packaging dimensions, this paper presented a simulative method to generate the eye point distribution. Based on America anthropometry data, and by using Monte Carlo simulation, the anthropometric sample data of the male, female and mixed-gender population were generated, which were used to simulate the distributions of their eye points with Cascade Prediction Model(CPM), based on the cab packaging parameters of six cars. Statistical analyses were conducted about the distribution parameters of the eye points, as well as their trends varying with the cab packaging parameters. The simulated results were validated with those calculated from SAE methods. The results showed perfect feasibility of the method presented in this paper, which provided good solution for calculating the distribution of eye points for different populations and vehicle models when conducting vision design and analyses.更多还原