假设检验在HUD显示精度测试中的应用

Application of Hypothesis Test in HUD Display Accuracy Test

传统HUD显示精度测试固定选取少量测试点,试验结果无超差时判断合格,无法证明是否满足总体要求,因此需对该方案进行改进。采用数理统计中的推断性统计理论,结合HUD视场特点,设计一种简单随机抽样模型,进行抽样测试,再基于样本试验结果对总体要求进行推断。首先,采用简单随机抽样理论,设计了满足均匀分布的随机样本模型;然后,采用假设检验理论,研究出显示精度决策流程,确定显示精度超差数、最低样本容量和最大允许超差数之间的关系;最后设计了验证方案,试验结果证明了改进方案的合理性。该改进方案可同时兼顾生产方和使用方风险。

A small number of test points are selected for the traditional HUD display accuracy test.If the test results are not out of tolerance,it is judged to be qualified,and it is impossible to prove whether it meets the overall requirements.Therefore,the scheme needs to be improved.A simple random sampling model is designed by using the inferential statistical theory in mathematical statistics and in combination with the characteristics of HUD field of view.A sampling test is conducted,and the overall requirements are inferred based on the sample test results.Firstly,a random sample model with uniform distribution is designed by using the simple random sampling theory.Then,the hypothesis test theory is adopted to study the decision-making process of display precision,and the relationship among display precision out of tolerance,the minimum sample size and the maximum allowable number out of tolerance is determined.Finally,a verification scheme is designed,and the test results prove the rationality of the improved scheme.The improved scheme can take into account the risks of both the manufacturer and the user.