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This contribution discusses and compares different approaches and quality criteria for real-time digitization of automotive matrix-headlights. The digitization method enables hardware-in-the-loop evaluations of high-resolution lighting functions in the lighting laboratory at any time of day in real time to reduce the duration of real night test drives. The transformation of illumination to the virtual environment must be as fast and “accurate” as possible. This contribution presents a physics-based transformation strategy and compares different optimal parameterizations for different quality criteria for the image processing system. The scientific goal of this contribution is to define a numerical quantitative criterion for an “accurate” transformation. From the presented evaluation of the digitization of a real headlamp, an optimal quality criterion is derived, which can be used for the automatic calibration of the test bench and the optimization of the digitization process.
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Waldner et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69daa41d3bc1ef7225684513 — DOI: https://doi.org/10.1109/aim46487.2021.9517704
Mirko Waldner
Torsten Bertram
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