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An extension of automotive imaging from the visible (VIS) to the near infrared (NIR) spectrum is promising for driving automation applications because the technology is readily available and offers potential benefits in low visibility conditions, in low light conditions with active illumination, and by collection of complementary data. We propose the evaluation of VIS-NIR imaging in simulation using an extended version of our camera simulation and optimization framework. Our extended frameworkdoi:10.2352/ei.2022.34.16.avm-161 fatcat:j4qxdhdwxzavvnaqc7chw27vum