Automotive HDR cameras increasingly favor longer effective exposures to improve low-light performance and maintain robust imaging under LED flicker constraints. At driving speeds, however, long integration times introduce motion blur that reduces effective resolution on dynamic objects—an effect that can be underrepresented in conventional, static image-quality evaluation. This talk introduces simulation and laboratory measurement methodologies that explicitly incorporate motion blur into image-quality characterization and quantifies system performance using system SFR and noise-equivalent quanta (NEQ). The framework supports simulation-first evaluation of new dual-output HDR sensor modes, assessing when a short-exposure stream provides complementary information to a long-exposure stream in motion-affected scenes.
