摘要
文中设计了基于机器视觉的行车环境安全预警系统,采用包含视频图像采集、行车环境检测以及行车环境安全预警3个功能模块的系统结构,重点研究并提出了新的行车环境识别方法,包含车道线提取和前方车辆检测方法,并对系统硬件架构及软件流程和算法进行说明,实现高速公路行车环境的识别并进行危险警示。实验结果显示,系统能够准确地对前方车道线和车辆进行检测,实现设计效果。
This thesis aims to design a traffic environment prewarning system which is based on monocular vision and consists of three modules including CCD image acquisition module,driving environment detection module,and traffic environment danger alert module. The research focuses on new methods of traffic lane line extraction--preceding vehicle detection and traffic environment recognition,and also make description of the system hardware architecture and software process and algorithm,which can identify the highway traffic environment and warn drivers in case of dangerous situations. Experimental results show that the system can detect front lane and vehicles accurately to achieve the design effects.
出处
《电子设计工程》
2015年第6期1-4,共4页
Electronic Design Engineering
基金
国家"863"计划项目(2012AA112305)
国家自然科学基金面上项目(61174184)
国基自然科学基金(51108192)
关键词
安全预警系统
单目视觉
行车环境
车道检测
车辆检测
security prewarning system
monocular vision
traffic environment
lane detection
vehicle detection
作者简介
邓筠（1983-），女，广东三水人，硕士，实验师。研究方向：电子通信与自动控制技术。
