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.

Information

Publisher

Academic Press

Year

2023

ISBN

9780443189982

Topic

Technology & Engineering

Subtopic

Automotive Transportation & Engineering

Index

Technology & Engineering

Cover image
Title page
Table of Contents
Copyright
Chapter one. Introduction
Chapter two. Driver behaviour recognition based on eye gaze
Chapter three. Driver behaviour recognition based on hand-gesture
Chapter four. Driver behaviour recognition based on head movement
Chapter five. Driver behaviour recognition based on the fusion of head movement and hand movement
Chapter six. Real-time driver behaviour recognition
Chapter seven. The implication of non-driving tasks on the take-over process
Chapter eight. Driver workload estimation
Chapter nine. Neuromuscular dynamics characterisation for human–machine interface
Chapter ten. Driver steering intention prediction using neuromuscular dynamics
Chapter eleven. Intelligent haptic interface design for human–machine interaction in automated vehicles
Index