Human-Machine Interaction for Automated Vehicles
eBook - ePub

Human-Machine Interaction for Automated Vehicles

Driver Status Monitoring and the Takeover Process

  1. 260 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Human-Machine Interaction for Automated Vehicles

Driver Status Monitoring and the Takeover Process

About this book

Human-Machine Interaction for Automated Vehicles: Driver Status Monitoring and the Takeover Process explains how to design an intelligent human-machine interface by characterizing driver behavior before and during the takeover process. Multiple solutions are presented to accommodate different sensing technologies, driving environments and driving styles. Depending on the availability and location of the camera, the recognition of driving and non-driving tasks can be based on eye gaze, head movement, hand gesture or a combination. Technical solutions to recognize drivers various behaviors in adaptive automated driving are described with associated implications to the driving quality. Finally, cutting-edge insights to improve the human-machine-interface design for safety and driving efficiency are also provided, based on the use of this sensing capability to measure drivers' cognition capability. - Covers everything needed to design an effective driver monitoring system, including sensors, areas to monitor, computing devices, and data analysis algorithms - Explores aspects of driver behavior that should be considered when designing an intelligent HMI - Examines the L3 take-over process in detail

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Yes, you can access Human-Machine Interaction for Automated Vehicles by Yifan Zhao,Chen Lv,Lichao Yang in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automotive Transportation & Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Human-Machine Interaction for Automated Vehicles
  2. Chapter one Introduction
  3. Chapter two Driver behaviour recognition based on eye gaze
  4. Chapter three Driver behaviour recognition based on hand-gesture
  5. Chapter four Driver behaviour recognition based on head movement
  6. Chapter five Driver behaviour recognition based on the fusion of head movement and hand movement
  7. Chapter six Real-time driver behaviour recognition
  8. Chapter seven The implication of non-driving tasks on the take-over process
  9. Chapter eight Driver workload estimation
  10. Chapter nine Neuromuscular dynamics characterisation for human–machine interface
  11. Chapter ten Driver steering intention prediction using neuromuscular dynamics
  12. Chapter eleven Intelligent haptic interface design for human–machine interaction in automated vehicles
  13. Index