@article{ref1,
title="Dry/wet judgment of road surface using gabor filtering of vehicle camera images",
journal="IEICE technical report (HCS)",
year="2011",
author="Tanaka, Michio and Morie, Takashi and Matsuoka, Satoru and Iwase, Koji and Yamamoto, Yasunori",
volume="110",
number="421",
pages="263-267",
abstract="Detection of Road Condition is very important in the development of Active Safety Technology for car accident. It also is expected to application to optimization of pre-crash safety system and assistance of driving. Recently, image processing by Vehicle Camera Image is an active topic and Detection of Road Condition by luminance change, and frequency analysis has been proposed. This paper proposeed that Dry/Wet Judgment Technique of Road Surface Using Gabor Filtering of Vehicle Camera Images. Let average of Gabor Filtering Results denote the Gabor feature. We showed that Dry/Wet Judgment is possible by normalize the Gabor feature. And accuracy of the proposed method is over 80% by experiment in several different types of roads.  Language: ja<p />",
language="",
issn="0913-5685",
doi="",
url="http://dx.doi.org/"
}