Introduction

Kapitel in diesem Buch

1. Frontmatter I
2. Contents V
3. Contributing Authors VII
4. Introduction XI
5. Part A: Driver/Vehicle Interaction Systems
6. 1 MobileUTDrive: A Portable Device Platform for In-vehicle Driving Data Collection 3
7. 2 Semantic Analysis of Driver Behavior by Data Fusion 25
8. 3 Predicting When Drivers Need AR Guidance 35
9. 4 Driver’s Mental Workload Estimation with Involuntary Eye Movement 49
10. 5 Neurophysiological Driver Behavior Analysis 67
11. 6 Modeling the Relationship between Driver Gaze Behavior and Traffic Context during Lane Changes Using a Recurrent Neural Network 87
12. 7 A Multimodal Control System for Autonomous Vehicles Using Speech, Gesture, and Gaze Recognition 101
13. 8 Head Pose as an Indicator of Drivers’ Visual Attention 113
14. Part B: Models & Theories of Driver/Vehicle Systems
15. 9 Evolving Neural Network Controllers for Tractor-Trailer Vehicle Backward Path Tracking 135
16. 10 Spectral Distance Analysis for Quality Estimation of In-Car Communication Systems 149
17. 11 Combination of Hands-Free and ICC Systems 165
18. 12 Insights into Automotive Noise PSD Estimation Based on Multiplicative Constants 183
19. 13 In-Car Communication: From Single- to Four-Channel with the Frequency Domain Adaptive Kalman Filter 213
20. Part C: Self–driving and the Mobility in 2050
21. 14 The PIX Moving KuaiKai: Building a Self-Driving Car in Seven Days 233
22. 15 Vehicle Ego-Localization with a Monocular Camera Using Epipolar Geometry Constraints 251
23. 16 Connected and Automated Vehicles: Study of Platooning 263
24. 17 Epilogue – Future Mobility 2050 285
25. Index 311