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城市十字路口汽车防撞信息系统优化
引用本文:蔡永华,明平顺,甘浩.城市十字路口汽车防撞信息系统优化[J].武汉理工大学学报(信息与管理工程版),2005,27(1):127-130.
作者姓名:蔡永华  明平顺  甘浩
作者单位:武汉理工大学,汽车工程学院,湖北,武汉,430070
摘    要:介绍和分析了城市十字路口汽车防撞信息系统的框架,对机器视觉的关键技术车道检测和障碍物检测的难点进行了详细的分析。与雷达等传感器相比,机器视觉具有低造价、低能耗和利于车载等优点,更适合用于车辆的外界感知系统,同时也指出了其不足之处,为机器视觉的发展提供了方向。

关 键 词:自动防撞  十字路口  传感器  机器视觉
文章编号:1007-144X(2005)01-0127-04
修稿时间:2004年6月7日

Optimization of the Automobile Anti-Collision Information System in Urban Crossroads
Cai Yonghua,Ming Pingshun,Gan Hao Cai Yonghua: Postgraduate, School of Automotive Engineering,WUT,Wuhan ,China..Optimization of the Automobile Anti-Collision Information System in Urban Crossroads[J].Journal of Wuhan University of Technology(Information & Management Engineering),2005,27(1):127-130.
Authors:Cai Yonghua  Ming Pingshun  Gan Hao Cai Yonghua: Postgraduate  School of Automotive Engineering  WUT  Wuhan  China
Affiliation:Cai Yonghua,Ming Pingshun,Gan Hao Cai Yonghua: Postgraduate, School of Automotive Engineering,WUT,Wuhan 430070,China.
Abstract:The framework of the anti-collision information system in urban crossroads is introduced. Detailed analysis is carried out on the difficulties of machine vision essential technical traffic lane examination and obstacle examination. Compared with radars or other sensors, machine vision has the merits of low cost, low energy consumption and convenient carrying, etc. It is especially suitable for sensation system of the exterior vehicle. Its disadvantages are pointed out. It provides the direction for the development of machine vision.
Keywords:automatic anti-collision  crossroad  sensor  machine vision
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