关键词: 智能雨刷系统；数字图像处理；模糊控制器

Abstract: 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.

Key words: Intelligent wiper system; Digital image processing; Fuzzy controller