Real-Time Raindrop Detection Based on Deep Learning Algorithm

F. Marin, M. Marin
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引用次数: 0

Abstract

The goal of this research is to develop an in-vehicle computerized system able to detect the raindrops on windshield and warn the driver and start the windscreen wiper in order to avoid that computer vision to acquire blurred images. This feature is important in order to develop Advanced Driver Assistance System based on computer vision. The system should be able specific scenarios that do not allow the ADAS computer vision feature to work properly. Rain drop detection will allow a more reliable Advanced Driver Assistance System.
基于深度学习算法的实时雨滴检测
本研究的目标是开发一种车载计算机系统,能够检测挡风玻璃上的雨滴,并警告驾驶员并启动挡风玻璃刮水器,以避免计算机视觉获得模糊的图像。这一特性对于开发基于计算机视觉的高级驾驶辅助系统具有重要意义。该系统应该能够在不允许ADAS计算机视觉功能正常工作的特定场景下运行。雨滴检测将允许更可靠的先进驾驶辅助系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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25
审稿时长
8 weeks
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