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Driver Drowsiness Detection - Systems and Solutions
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Driver Drowsiness Detection - Systems and Solutions
von: Aleksandar Colic, Oge Marques, Borko Furht
Springer-Verlag, 2014
ISBN: 9783319115351
57 Seiten, Download: 2123 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Preface 8  
  Contents 10  
  Chapter 1 Introduction 11  
     1.1 The Problem of Driver Drowsiness 11  
     1.2 What Is Drowsiness? 12  
     1.3 What Causes Drowsiness? 14  
     1.4 What Can We Do About It? 15  
     References 15  
  Chapter 2 Driver Drowsiness Detection and Measurement Methods 16  
     2.1 Subjective Methods 16  
     2.2 Physiological Methods 19  
     2.3 Vehicle-Based Methods 20  
     2.4 Behavioral Methods 22  
     2.5 Hybrid Methods 23  
     References 23  
  Chapter 3 Commercial Solutions 28  
     3.1 Car Manufacturers 28  
     3.2 Independent Products 31  
     References 32  
  Chapter 4 Research Aspects 33  
     4.1 Imaging Sensors 34  
        4.1.1 Visible Light Cameras 34  
        4.1.2 Near Infrared (NIR) Cameras 35  
     4.2 Feature Detection and Extraction 35  
     4.3 Machine Learning Classifiers 40  
     4.4 Challenges and Practical Aspects 42  
        4.4.1 Data Collection 42  
        4.4.2 Performance Requirements 43  
     References 44  
  Chapter 5 Examples 46  
     5.1 Selected Recent Work 46  
        5.1.1 Head Pose Estimation 47  
        5.1.2 Yawning 47  
        5.1.3 Eye State Estimation 48  
     5.2 Our Work 50  
        5.2.1 System Initialization: Preparation 51  
           Skin Color Feature Analysis 53  
           Eye Model Analysis 54  
           Head Position Analysis 54  
        5.2.2 Regular Stage: Eye Tracking with Eye-State Analysis 54  
        5.2.3 Warning Stage: Nod Analysis 55  
           Head Position Monitoring 55  
        5.2.4 Alert Stage 56  
     References 57  


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