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
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  • 英文篇名:Research on the Design of the Automotive Intelligent Headlamp System Based on the Machine Vision and Radar Detection
  • 作者:宋百玲 ; 吴德鸿 ; 毛一鸣 ; 邹玉琪 ; 常伟斌 ; 杨润发 ; 于淼
  • 英文作者:SONG Bai-ling;WU De-hong;MAO Yi-ming;ZOU Yu-qi;CHANG Wei-bin;YANG Run-fa;YU Miao;School of Traffic NEFU, Northeast Forestry University;
  • 关键词:智能前照 ; 机器视觉 ; 毫米波雷达 ; 远近光灯切换 ; 障碍物预警
  • 英文关键词:intelligent headlamp;;machine vision;;millimeter wave radar;;switching of far and near lights;;obstacle warning
  • 中文刊名:ZQGZ
  • 英文刊名:Management & Technology of SME
  • 机构:东北林业大学交通学院;
  • 出版日期:2019-01-15
  • 出版单位:中小企业管理与科技(中旬刊)
  • 年:2019
  • 期:No.563
  • 语种:中文;
  • 页:ZQGZ201901071
  • 页数:2
  • CN:01
  • ISSN:13-1355/F
  • 分类号:157-158
摘要
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.
引文
[1]黄伟.西安市道路交通事故致因因素及对策研究[D].西安:西安科技大学,2017.
    [2]陈伟民,李存龙.基于微波雷达的位移/距离测量技术[J].电子测量与仪器学报,2015,29(09):1251-1265.
    [3]闫苏琪.基于s CMOS的高动态范围图像合成技术研究[D].北京:中国科学院大学(中国科学院光电技术研究所),2018.

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