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[Author] Yuki IMAEDA(1hit)

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  • Pedestrian Detectability Estimation Considering Visual Adaptation to Drastic Illumination Change

    Yuki IMAEDA  Takatsugu HIRAYAMA  Yasutomo KAWANISHI  Daisuke DEGUCHI  Ichiro IDE  Hiroshi MURASE  

     
    LETTER-Image Recognition, Computer Vision

      Pubricized:
    2018/02/20
      Vol:
    E101-D No:5
      Page(s):
    1457-1461

    We propose an estimation method of pedestrian detectability considering the driver's visual adaptation to drastic illumination change, which has not been studied in previous works. We assume that driver's visual characteristics change in proportion to the elapsed time after illumination change. In this paper, as a solution, we construct multiple estimators corresponding to different elapsed periods, and estimate the detectability by switching them according to the elapsed period. To evaluate the proposed method, we construct an experimental setup to present a participant with illumination changes and conduct a preliminary simulated experiment to measure and estimate the pedestrian detectability according to the elapsed period. Results show that the proposed method can actually estimate the detectability accurately after a drastic illumination change.