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A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion

机译：基于多源信息和两级融合的疲劳驾驶自适应动态识别模型

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Wei Sun; Xiaorui Zhang; Srinivas Peeta; Xiaozheng He; Yongfu Li; Senlai Zhu;
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年度 2015
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1. A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion [J] . Senlai Zhu, Srinivas Peeta, Wei Sun, Sensors . 2015,第9期

机译：基于多源信息和两级融合的疲劳驾驶自适应动态识别模型
2. A Real-Time Fatigue Driving Recognition Method Incorporating Contextual Features and Two Fusion Levels [J] . Wei Sun, Xiaorui Zhang, Srinivas Peeta, Intelligent Transportation Systems, IEEE Transactions on . 2017,第12期

机译：结合上下文特征和两个融合水平的实时疲劳驾驶识别方法
3. A driver fatigue recognition model based on information fusion and dynamic Bayesian network [J] . Yang GS, Lin YZ, Bhattacharya P Information Sciences: An International Journal . 2010,第10期

机译：基于信息融合和动态贝叶斯网络的驾驶员疲劳识别模型
4. Research on Fatigue Driving Assessment Based on Multi-Source Information Fusion [C] . Fang Bin, Yang Jiangyong International Conference on Measuring Technology and Mechatronics Automation . 2017

机译：基于多源信息融合的疲劳驾驶评估研究
5. Manual and computer-based stereology: The tradeoffs and automatic target recognition using feature-level fusion. [D] . Markowitz, Zvi. 2006

机译：手动和基于计算机的外观：使用特征级融合的权衡和自动目标识别。
6. A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion [O] . Wei Sun, Xiaorui Zhang, Srinivas Peeta, 2015

机译：基于多源信息和两级融合的疲劳驾驶自适应动态识别模型
7. A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion [O] . Wei Sun, Xiaorui Zhang, Srinivas Peeta, 2015

机译：基于多源信息和两级融合的疲劳驾驶自适应动态识别模型

A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion

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