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Volume: 28 | Article ID: art00047
Optimization of automotive color filter arrays for traffic light color separation
  DOI :  10.2352/issn.2169-2629.2020.28.46  Published OnlineNovember 2020

Traffic light (TL) classification is an important feature for automated driving, and it requires correct color separation of the TL signals captured using cameras. A key camera component for the color separation performance is the color filter array (CFA). For common automotive-specific CFAs, we have observed unsatisfactory performance for TL color separation, which indicates the need for an optimization. Based on typical scenarios for TL classification and a set of recorded TL signals, we evaluate the performance of common automotive CFAs. For a quantitative evaluation, we propose a suitable color distance metric. We also propose a method for optimization of the CFA and show that using this method, reference color separation performance can be achieved, trading in only a small amount of sensitivity.

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Korbinian Weikl, Damien Schroeder, Walter Stechele, "Optimization of automotive color filter arrays for traffic light color separationin Proc. IS&T 28th Color and Imaging Conf.,  2020,  pp 288 - 292,

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Copyright © Society for Imaging Science and Technology 2020
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