摘要
智能车辆是近年来的研究热点,基于视觉的车辆检测与识别技术是智能车辆技术研究的一个重要组成部分。介绍国内外路面车辆检测技术的研究方法和发展现状。根据检测的不同方法,以视觉传感器为主,从特征和运动的角度论述目标检测的方法;从模板、外观和分类的角度论述目标识别的方法。介绍立体视觉和多传感器融合的技术。对智能车辆障碍物检测和识别技术的发展进行了展望。
Intelligent vehicle is an active research field recently, the vision-based vehicle detection and recognition is an important aspect in the intelligent vehicle field. Detection and recognition on road in different countries are introduced. From features and movement point of view, target detection method are discussed. From template, appearance and classification point of view, target identifieation are discussed. The technology of stereo vision and multi-sensor fusion is introduced also. The delelopment of the technology of intelligent vehicle obstacles detection is expected.
出处
《传感器与微系统》
CSCD
北大核心
2010年第2期5-8,12,共5页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(50675099)
江苏省普通高校研究生科研创新计划资助项目(CX08B_044Z)
关键词
机器视觉
智能车辆
图像处理
目标检测
machine vision
intelligent vehicle
image processing
object detection