机器视觉在汽车安全系统中的应用与挑战  

Application and challenges of machine vision in automotive safety systems

作　　者：吴嵩波 于兴林 杨贵林 康竞然 张晨曦 Wu Songbo;Yu Xinglin;Yang Guilin;Kang Jingran;Zhang Chenxi(Geely Automobile Research Institute(Ningbo)Co,,Ltd,Ningbo 315336,China)

机构地区：[1]吉利汽车研究院(宁波)有限公司,浙江宁波315336

出　　处：《汽车知识》2024年第10期38-41,共4页AUTOMOTIVE KNOWLEDGE

摘　　要：本文介绍了机器视觉的定义及其在汽车安全系统中的重要性,分析了当前典型的应用实例,如车辆识别、行人检测、交通信号识别等,探讨了机器视觉在车道偏离预警、碰撞预防、驾驶辅助与自动驾驶中的具体应用,阐述了机器视觉在汽车安全系统中面临的挑战,总结了机器视觉在提升汽车安全性方面的重要作用,并指出未来的发展方向。This paper introduces the definition of machine vision and its importance in automotive safety sys-tems.It provides examples of current typical applications such as vehicle recognition,pedestrian detection,and traffic signal recognition.The paper explores the specific applications of machine vision in lane departure warn-ing,collision prevention,driver assistance,and autonomous driving.It discusses the challenges faced by machine vision in automotive safety systems and concludes by summarizing the significant role of machine vision in enhancing vehicle safety,while also pointing out future development directions.

关 键 词：机器视觉 汽车安全系统 自动驾驶 

分 类 号：U461.91[机械工程—车辆工程]