An objective measure for automotive surface contamination
An objective measure for automotive surface contamination
复制标题
汽车表面污染的客观测量
DOI：
10.4271/2018-01-0727
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Gaylard
中科院分区：
文献类型：
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作者：
G. Hodgson;M. Passmore;A. Garmory;A. Gaylard
道路车辆的外部的表面污染或弄脏可能是难看的，降低可见度和客户满意度，并且，
表面安装传感器的应用越来越多，可能会降低高级驾驶员辅助系统的性能。评估表面污染的实验方法越来越多地用于产品开发过程中，但结果通常是主观的。使用计算方法预测污染使客观测量成为可能，但具有可比性
来自实验的数据是重要的验证要求。本文介绍了在实验过程中产生的表面污染的客观措施的发展。使用紫外线（UV）染料掺杂的水进行了一系列的控制实验，以开发一个强大的方法。然后将该过程应用于简化的污染测试。在每次测试后，利用具有已知流体深度的校准容器沿着捕获由UV灯照射的表面的图像。处理图像以去除入射照明变化的影响。然后使用校准容器计算沉积的污染物的总质量，以提供所需的局部流体深度。该文件包括验证的技术。
Surface contamination, or soiling, of the exterior of road vehicles can be unsightly, reduce visibility and customer satisfaction and, with the
increasing application of surface mounted sensors, can degrade the performance of advanced driver assistance systems. Experimental methods of evaluating surface contamination are increasingly used in the product development process, but the results are generally subjective. The use of computational methods for predicting contamination make objective measures possible, but comparable
data from experiment is an important validation requirement. This paper describes the development of an objective measure of surface contamination arising during experiments. A series of controlled experiments using Ultra Violet (UV) dye doped water are conducted to develop a robust methodology. This process is then applied to a simplified contamination test. An image of a surface, illuminated by an UV lamp, is captured after every test along with a calibration vessel with known fluid depth. The image is processed to remove the influence of variation in incident illumination. The total mass of contamination deposited is then calculated using the calibration vessel to provide the required local fluid depths. The paper includes validation of the technique.