研究了在夜间暗环境下驾驶员读取夜视车载平显(HUD)信息的亮度感知特点, 建立了不同照度环境下驾驶员使用夜视车载HUD的亮度调节模型。在环境光仿真系统中, 实验设备采用显示亮度可手动调节的夜视车载HUD, 实验对象为100名驾驶员, 设置多档实验照度, 在各档照度条件下研究驾驶员认读夜视车载HUD信息的最低亮度、适宜亮度和最高亮度。对实验数据进行统计分析, 建立了亮度调节曲线和驾驶员亮度感知模型, 同时总结了夜间暗环境下驾驶员认读夜视车载HUD的亮度规律。该模型能够为夜视车载HUD自动亮度调节的工程设计优化提供定量参考, 并提高其人机交互的效能和用户体验。

The brightness perception characteristics of the night vision vehicle head up display (HUD) information which read by the driver in the dark environment at night are studied to build the brightness adjustment model of the night vision vehicle HUD in different illumination conditions. The specific experimental system is set up to simulate different illumination conditions in which 100 drivers are chosen to evaluate the values of the minimum brightness, optimum brightness and the maximum brightness of the HUD information. The experimental data is statistically analyzed, the brightness adjustment curve and the driver brightness perception model are both presented, and the brightness law of the driver′s reading the night vision vehicle HUD under the dark environment is subsequently summarized. The experimental results show that the proposed model can be used as the quantitative reference for the engineering design optimization of the night vision vehicle HUD and improve the efficiency and user experience of human-computer interaction.