Vehicles, Drivers, and Safety / / ed. by Huseyin Abut, Kazuya Takeda, Gerhard Schmidt, John Hansen.
This book presents works from world-class experts from academia, industry, and national agencies representing countries from across the world focused on automotive fields for in-vehicle signal processing and safety. These include cutting-edge studies on safety, driver behavior, infrastructure, and h...
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Table of Contents:
- Frontmatter
- Contents
- Contributing Authors
- Introduction
- Part A: Driver/Vehicle Interaction Systems
- 1 MobileUTDrive: A Portable Device Platform for In-vehicle Driving Data Collection
- 2 Semantic Analysis of Driver Behavior by Data Fusion
- 3 Predicting When Drivers Need AR Guidance
- 4 Driver’s Mental Workload Estimation with Involuntary Eye Movement
- 5 Neurophysiological Driver Behavior Analysis
- 6 Modeling the Relationship between Driver Gaze Behavior and Traffic Context during Lane Changes Using a Recurrent Neural Network
- 7 A Multimodal Control System for Autonomous Vehicles Using Speech, Gesture, and Gaze Recognition
- 8 Head Pose as an Indicator of Drivers’ Visual Attention
- Part B: Models & Theories of Driver/Vehicle Systems
- 9 Evolving Neural Network Controllers for Tractor-Trailer Vehicle Backward Path Tracking
- 10 Spectral Distance Analysis for Quality Estimation of In-Car Communication Systems
- 11 Combination of Hands-Free and ICC Systems
- 12 Insights into Automotive Noise PSD Estimation Based on Multiplicative Constants
- 13 In-Car Communication: From Single- to Four-Channel with the Frequency Domain Adaptive Kalman Filter
- Part C: Self–driving and the Mobility in 2050
- 14 The PIX Moving KuaiKai: Building a Self-Driving Car in Seven Days
- 15 Vehicle Ego-Localization with a Monocular Camera Using Epipolar Geometry Constraints
- 16 Connected and Automated Vehicles: Study of Platooning
- 17 Epilogue – Future Mobility 2050
- Index
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