Authors:
Yuki Imaeda
;
Takatsugu Hirayama
;
Yasutomo Kawanishi
;
Daisuke Deguchi
;
Ichiro Ide
and
Hiroshi Murase
Affiliation:
Nagoya University, Japan
Keyword(s):
ITS, Driving Assistance, Detectability, Ambient Light, Visual Adaptation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Visual Attention and Image Saliency
Abstract:
We propose an estimation method of pedestrian detectability considering the driver’s visual adaptation to illumination
change. Since it is important for driver assistance systems to determine if a driver is perceiving
a pedestrian or not, estimation of pedestrian detectability by the driver is required. However, previous studies
do not consider drastic illumination changes that degrades the detection performance by the driver. We
assumed that driver’s visual characteristics change in proportion to the adaptation period after illumination
change. Therefore we constructed estimators corresponding to different adaptation periods, and estimated
the pedestrian detectability by switching them according to the period. To evaluate the proposed method, we
constructed an experimental environment to present a subject with illumination changes and conducted an
experiment to measure and estimate the pedestrian detectability according to the adaptation period. Results
showed that the proposed meth
od could estimate the pedestrian detectability accurately after the illumination
changed drastically.
(More)