A reproducible analytical test method was developed to quantify the fouling resistance and cleanability of camera lens covers for autonomous vehicles (AVs). Reproducible fouling and cleaning cycles were achieved using a custom-built laboratory test stand. The impact of fouling/cleaning on image quality was quantified using digital image analysis. Three optically transparent, fluorine-containing functional coatings on lens covers were used to validate the test method. Accelerated weathering was employed to deliberately degrade the functional coatings. Coating degradation was characterized using water contact angle and X-ray photoelectron spectroscopy. The effect of coating degradation on cleaning performance was studied using this test method. This analysis method was able to characterize differences in coating performance and can be used as a tool to evaluate next-generation functional coatings for autonomous vehicles.


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    Title :

    Fouling and Cleaning of Transparent, Functional Coatings for Autonomous Vehicle Sensors


    Additional title:

    Sae Intl. J Cav


    Contributors:


    Publication date :

    2022-03-11


    Size :

    10 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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