摘要
由于基于路况识别的控制算法和控制策略对车辆的自适应控制效果和车辆的安全性能够起到明显的改进作用,实时路况识别技术成为近年来研究的热点。本文以模块化的思想设计了由车载超声波测距模块、光电传感器检测模块和图像采集与识别模块组成的路况检测与识别系统。
As for the control algorithm and control strategy based on traffic identification can play a significant role in the improvement of the self- adaptive control effect of the vehicle and vehicle security, real-time traffic recognition technology has become a research hotspot in recent years. In this paper, based on a modular idea, we designed the traffic detection and recognition system composed by the vehicle ultrasonic ranging module, photoelectric sensor module, image acquisition and detection module.
出处
《微计算机信息》
北大核心
2007年第26期279-281,共3页
Control & Automation
关键词
人工智能
图像处理
路况识别
超声波测距
光电传感
AI, Imagery processing, Road Status Recognition, Ultrasonic Distance Measurement, Opto-electronic Sensor
