摘要
针对智能汽车在不利天气下无法实时准确获得视觉信息的问题,对现有应对方法进行调研。在雾天和低照度条件下,智能车摄像机捕捉到的画面会面临模糊、低质和信息量不足的问题,分别对这2种条件下相关的信息增强技术进行总结;从单图像和视频增强2个方面进行归纳,最后对这类技术进行了展望。
Aiming at the problem that intelligent vehicles cannot obtain real-time and accurate visual information in adverse weather,the existing countermeasures are investigated.In foggy days and low illumination conditions,the images captured by smart car cameras will face problems of blur,low quality and insufficient information.This paper summarizes relevant information enhancement technologies under these two conditions respectively.Single image enhancement and video enhancement are summarized.Finally,this kind of technology is prospected.
作者
钟魁松
冯治国
Zhong Kuisong;Feng Zhiguo(School of Mechanical Engineering,Guizhou University,Guiyang City,Guizhou Province 550025,China)
出处
《农业装备与车辆工程》
2022年第11期40-43,共4页
Agricultural Equipment & Vehicle Engineering
基金
贵州省科技重大专项(黔科合重大专项字ZNWLQC[2019]3012)
贵州省交通运输厅科技项目(2021-322-021)。
关键词
智能车视觉
图像去雾
图像信息增强
视频增强
intelligent car vision
image defogging
image information enhancement
video enhancement
