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基于D-S推理的酒后驾驶预警机制研究
引用本文:邱道尹,王勇.基于D-S推理的酒后驾驶预警机制研究[J].华北水利水电学院学报,2012(1):62-65.
作者姓名:邱道尹  王勇
作者单位:华北水利水电学院电力学院
基金项目:国家自然科学基金项目(31101085)
摘    要:一般检测酒后驾驶仅针对酒精含量进行检测,手段单一,且对人的自觉性依赖较大.为了有效地检测及预防酒后驾驶,提出了一种利用多源信息融合技术的D-S证据推理法构建的酒后驾驶预警模型.该模型利用多类传感器提取驾驶员的多个特征,针对所获信息进行分析预测,更加逼近驾驶员当时状态,检测效果更精确.

关 键 词:信息融合  酒后驾驶  预处理  D-S证据推理  模型

Early Warning System Based on Dempster-Shafer Reasoning for Drunk Driving
QIU Dao-yin,WANG Yong.Early Warning System Based on Dempster-Shafer Reasoning for Drunk Driving[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2012(1):62-65.
Authors:QIU Dao-yin  WANG Yong
Affiliation:(North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China)
Abstract:The general detection of drink driving is only the alcohol content testing,its means is single,and it relies on human self-consciousness.In order to detect and prevent drunk driving effectively,an early warning model of drunk driving built by the Dempster-Shafer evidence reasoning method based on the multi-source information fusion technology was proposed.Many kinds of sensors were used to extract the features of drivers in the model,and the information obtained was analyzed and forecasted,which approached the status of the driver more,and detection results were more accurate.
Keywords:information fusion  drunk driving  pretreatment  Dempster-Shafer evidence reasoning  model
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