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Design of Wiper Control System Based on Visual Image Processing
ZHAO Wei
2024, 49(4):
30-35.
DOI: 10.16638/j.cnki.1671-7988.2024.004.006
The windshield wiper system is one of the essential components for ensuring safe driving
in automobiles. During rainy or snowy weather, drivers constantly need to adjust the wipers to
maintain clear visibility. Traditional wiper systems require manual operation, which can distract
drivers' attention and potentially lead to accidents. A vision-based wiper control system can
automatically adjust the wiper's movement based on the actual driving conditions, thus freeing the
driver's hands and enhancing both safety and convenience. Taking into account the domestic and
international trends in rain sensor technology, applying digital image processing techniques, fuzzy
logic, and controller principles, a new design approach is proposed with three major components:
system configuration and image acquisition, rainwater image processing (preprocessing, segmentation, dilation, feature extraction), and the design and simulation of a fuzzy controller. This approach enables input through image processing, output through fuzzy controller reasoning, and automatic,
efficient adjustment of the windshield wiper system's motion. In the context of the increasing
electrification, smart features, the expansion of the automotive Internet of things, and the growing
market share of new energy vehicles, this approach offers a new way to implement intelligence in
traditional automotive safety systems and provides a reference for incorporating computer image
processing technology into automotive design.
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