Vehicles, Drivers, and Safety
eBook - PDF

Vehicles, Drivers, and Safety

  1. 327 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Vehicles, Drivers, and Safety

About this book

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.

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Yes, you can access Vehicles, Drivers, and Safety by John Hansen, Kazuya Takeda, Gerhard Schmidt, Huseyin Abut in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

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