摘要
路面状态的自动识别,对于减少交通事故、提高智能交通系统决策的实效性具有重要意义。文章阐述了路面状态识别技术的国内外发展现状,分析了路面状态识别方法各自的优势和弊端,介绍了基于机器视觉的视频图像识别方法和路面状态识别技术,并指出了未来发展趋势。
It is significant that automatic identification of pavement state can improve the effectiveness of ITS decision and reduce the number of traffic accidents.This paper describes the present development situation at home and abroad for recognition technology of pavement state,and analyses its advantages and disadvantages.Then,the video image recognition based on machine vision and recognition technology of pavement state is introduced.The proposal for its future trend is also put forward.
出处
《气象水文海洋仪器》
2012年第4期115-118,共4页
Meteorological,Hydrological and Marine Instruments
基金
科技部科研院所技术开发研究专项资金(国科发则:20075050)
吉林交通职业技术学院改革发展创新专项基金(No.2011030306)
关键词
路面状态
模式识别
图像传感器
机器视觉
pavement state
model recognition
image sensor
machine vision
