摘要
驾驶员行车时易出现视觉疲劳和失速现象,此时难以判断安全车间距,易导致车辆追尾事故.针对这一问题,以ARM11器件SAMSUNG S3C6410为核心搭建了安全车距监测系统;结合车辆的形态和纹理等特征,采用多特征融合技术完成复杂环境下的车辆识别,并根据单目视觉测距原理完成摄像机多角度下的车距检测.实验结果表明,该系统能有效监测前车车距,测量准确、可靠性高且满足实时性要求.
Driver while driving prone to visual fatigue and stall phenomena, at this time it i~ difficult to judge the safety car distance, easily lead to rear-end collision accident. In order to solve this problem, uses the ARM11 core SAMSUNG S3C6410 devices build a car safety distance monitoring system. Combine of vehicle features such as shape and texture, system uses multi-feature fusion technology to complete the vehicle identification under complex environment, uses the monocular vision principle complete the car distance detection with the camera under multi-angle. The experiments show that this system can effective monitoring the front cars distance, accurate measurement, high reliability and meet the requirements of real-time.
出处
《计算机系统应用》
2012年第12期33-37,共5页
Computer Systems & Applications
基金
国家高技术研究发展计划(863)(2009AA11Z203)