摘要
文章提出一种在车载视觉导航系统中实现交通标志识别的技术。该算法利用安装在车辆上的视频采集模块获取真实交通环境的视频,通过基于颜色—形状模型的目标检测算法和基于BP神经网络的识别算法,准确、实时地获得交通标志信息,并对驾驶员发出警示信息,从而达到进一步完善车载辅助驾驶系统和提高汽车主动安全性的目的。
The technology of traffic sign recognition in the vision - based vehicle navigation system is presented. The technology captures the video in actual traffic environment by the video acquisition module installed in the vehicle. A method of determining traffic sign based on a color - shape model and a method of recognition based on BP network are used to gain information about traffic signs and give a feedback to drivers. The system can make the vehicle driver assistance system more perfect and improve the vehicle safety system.
出处
《上海汽车》
2009年第1期33-36,共4页
Shanghai Auto
