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基于AOD-Net的交通道路图像大气能见度检测系统 被引量：1

Traffic Road Image Atmospheric Visibility Detection System Based on AOD-NET
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摘要 针对目前应用较为广泛的传统交通道路大气能见度检测设备价格昂贵、未能满足覆盖大面积路网等问题,基于AOD-Net及道路监控设备,提出一种新型能见度检测系统。系统采用AOD-Net对道路图像信息进行处理,并通过算法构建模型给出相对准确的大气能见度数据。采用PyQt创建GUI程序平台,方便用户使用图像资料完成对交通道路大气能见度的检测。 Aiming at the problems of high price of traditional road atmospheric visibility detection equipment,which is widely used at present,and can not cover a large area of road network,a new visibility detection system is proposed based on AOD net and road monitoring equipment.The system uses AOD net to process the road image information,and constructs the model through the algo⁃rithm to give the relatively accurate atmospheric visibility data.Pyqt is used to create GUI program platform,which is convenient for users to use image data to complete the detection of atmospheric visibility on traffic roads.
作者 陈勇 王绎凯 王振宇 CHEN Yong;WANG Yi-kai;WANG Zhen-yu(Nanchang Institute of Technology,Nanchang 330099,China)
机构地区 南昌工程学院
出处 《电脑知识与技术》 2021年第18期199-200,共2页 Computer Knowledge and Technology
基金 2019年国家大学生创新创业训练计划资助项目(2019047)。
关键词 能见度检测 深度学习 AOD-Net PyQt 图像识别 交通管理 visibility detection deep learning AOD-Net PyQt image recognition traffic control
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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2021年 第18期

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