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Human-Machine Interaction for Automated Vehicles
Driver Status Monitoring and the Takeover Process
- 1st Edition - May 24, 2023
- Authors: Yifan Zhao, Chen Lv, Lichao Yang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 9 9 7 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 9 9 8 - 2
Human-Machine Interaction for Automated Vehicles: Driver Status Monitoring and the Takeover Process explains how to design an intelligent human-machine interface by character… Read more
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Request a sales quoteHuman-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
1. Introduction
2. Driver Behaviour Recognition Based on Eye-gaze
3. Driver Behaviour Recognition Based on Hand-gesture
4. Driver Behaviour Recognition Based on Head Movement
5. Driver Behaviour Recognition Based on the Fusion of Head Movement and Hand Movement
6. Real-time Driver Behaviour Recognition
7. The Implication of Non-driving Tasks on the Take-over Process
8. Driver Workload Estimation
9. Neuromuscular Dynamics Characterization for Human–Machine Interface
10. Driver Steering Intention Prediction using Neuromuscular Dynamics
11. Intelligent Haptic Interface Design for Human–Machine Interaction in Automated Vehicles
- No. of pages: 260
- Language: English
- Edition: 1
- Published: May 24, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780443189975
- eBook ISBN: 9780443189982
YZ
Yifan Zhao
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Chen Lv
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