基于机器视觉与雷达检测的汽车智能前照灯系统设计研究

Research on the Design of the Automotive Intelligent Headlamp System Based on the Machine Vision and Radar Detection

研究表明,汽车前照灯系统是汽车主动安全的重要组成部分。论文设计了一款基于机器视觉与毫米波雷达检测相结合的汽车智能前照灯系统,该系统可实现夜间行车光照条件不足时对前方车辆及障碍物进行检测,并实现障碍物预警与远近光灯智能切换。论文详细介绍了该系统的基本组成与工作原理,包括硬件电路设计与软件程序设计。该智能前照灯系统识别准确、可靠性高,较好地保障了夜间光照不足时的行车安全。

Research shows that the headlamp system is an important part of the active safety of automobiles.An intelligent headlamp system for automobile based on machine vision and millimeter wave radar detection is designed in this paper.The system can detect the vehicles and obstacles in front when the illumination condition is insufficient at night,and realize the early warning of obstacles and intelligent switching of far and near lights.This paper introduces the basic composition and working principle of the system in detail,including hardware circuit design and software program design.The intelligent headlamp system has the advantages of accurate recognition and high reliability,and can better guarantee the driving safety when the illumination condition is insufficient at night.