Pedestrian Detectability Estimation Considering Visual Adaptation to Drastic Illumination Change

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

IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.5   pp.1457-1461
Publication Date: 2018/05/01
Publicized: 2018/02/20
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDL8215
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
ITS,  driving assistance,  pedestrian detectability,  illumination change,  visual adaptation,  

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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.