Vehicles, Drivers, and Safety

✍ Scribed by John H.L. Hansen (editor); Kazuya Takeda (editor); Gerhard Schmidt (editor); Huseyin Abut (editor)

• Publisher: De Gruyter
• Year: 2020
• Tongue: English
• Leaves: 328
• Series: Intelligent Vehicles and Transportation; 2
• Category: Library

✦ Synopsis

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 human-to-vehicle interfaces. Vehicle Systems, Driver Modeling and Safety is appropriate for researchers, engineers, and professionals working in signal processing for vehicle systems, next generation system design from driver-assisted through fully autonomous vehicles.

• Crucial subject for the future of the automotive sector.

• Cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces.

✦ Table of Contents

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