Raindrop Detection from In-Vehicle Video Camera Images for Rainfall Judgment

Authors:
Hiroyuki Kurihata;Tomokazu Takahashi;Yoshito Mekada;Ichiro Ide;Hiroshi Murase;Yukimasa Tamatsu;Takayuki Miyahara
Affiliations:
Nagoya University, Japan;Nagoya University, Japan;Nagoya University, Japan;Nagoya University, Japan;Nagoya University, Japan;Denso Corporation, Japan;Denso Corporation, Japan
Venue:
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
Year:
2006

Citing 0
Cited 1

Weather Recognition Based on Images Captured by Vision System in Vehicle

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a method to detect raindrops from in-vehicle camera images and recognize rainfall using time-series information. We aim to improve the accuracy of raindrop detection by averaging the test images and framematching the result of raindrop detection in multiple adjoining frames. According to an evaluation experiment, raindrops were detected precisely enough for automatic wiper control by the proposed method.