For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
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
Publication Date: 2018/05/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
ITS, driving assistance, pedestrian detectability, illumination change, visual adaptation,
Full Text: PDF>>
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.