车辆行驶路径中智能预警系统设计  

Design of an intelligent early warning system in the vehicle driving path

作　　者：李全彬 张福洋 赵煊 LI Quanbin;ZHANG Fuyang;ZHAO Xuan(School of Physics and Electronics Engineering,Jiangsu Normal University,Xuzhou 221116,China)

机构地区：[1]江苏师范大学物理与电子工程学院,江苏徐州221116

出　　处：《苏州科技大学学报（自然科学版）》2020年第1期66-72,共7页Journal of Suzhou University of Science and Technology（Natural Science Edition）

基　　金：江苏省教育科学“十三五”规划课题项目(C-a/2016/01/09);地方高校国家级大学生创新创业训练计划项目(201810320074)。

摘　　要：提出一种智能识别车辆行驶路径中障碍物并发出相应预警的系统,旨在建立操作者年龄和性别与驾驶能力关联的车辆预警系统。首先,运用DEX算法提取操作者面部信息,识别年龄和性别;然后,划分操作者类别,类别对应安全距离各不相同;最后,根据模糊逻辑模拟车辆在动态环境下的预警问题,建立安全距离对应的模糊函数模型。假如车辆与障碍物之间的距离小于安全距离,该系统将会发出警告。实验证明,该系统可以根据操作者的年龄和性别选择相对合理的预警方案,准确地做出预警。We have designed a system for intelligently identifying obstacles in the vehicle’s travel path and issuing corresponding warnings.The warning system made the operator’s age,gender and driving ability connected.Firstly,with the DEX algorithm we extracted the operators’facial information and identified their age and gender.Secondly,the operators were classified and their safety distance varied.Finally,according to the fuzzy logic,we established the fuzzy function model corresponding to the safety distance in the dynamic environment.The system gives a warning signal if the distance between the vehicle and the obstacle is less than the safety distance.The experiment shows that the system can select a reasonable early warning plan according to the age and gender of the operators and give an accurate warning signal.

关 键 词：年龄与性别识别 模糊逻辑 DEX算法 安全距离 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]