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2022 | OriginalPaper | Chapter

Modeling Research of Solar Illumination for Automotive Head-Up Display Testing Based on Chinese Population’s Driving Postures

Authors : Lipeng Qin, Shouxi Wu, Peiwen Zuo, Shuoying Lv, Zhicheng Tang

Published in: Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE

Publisher: Springer Singapore

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Abstract

The displayed image of Head-up display of cars would make a significant effect on driving safety, and a precise solar luminance simulation is the key for Head-up Display image testing. It is the local luminous environment and driving postures that influence the simulation accuracy. This paper proposed a method to calculate solar luminance and illuminance in China, which was programmed with PYTHON, and validated it by a comparison with the actual solar data collected using luminance meter, which shows that this method is qualified to simulate the solar luminance and illuminance with a certain extent. Finally, the maximum solar luminance and illuminance in China in different scenarios were obtained using the method, which could be the input to automotive Head-up Display test.

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Metadata
Title
Modeling Research of Solar Illumination for Automotive Head-Up Display Testing Based on Chinese Population’s Driving Postures
Authors
Lipeng Qin
Shouxi Wu
Peiwen Zuo
Shuoying Lv
Zhicheng Tang
Copyright Year
2022
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-5963-8_85

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