Human-Machine Interaction for Automated Vehicles
Driver Status Monitoring and the Takeover Process
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80 876 Ft
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Product details:
- Publisher Elsevier Science
- Date of Publication 25 May 2023
- ISBN 9780443189975
- Binding Paperback
- No. of pages260 pages
- Size 228x152 mm
- Weight 370 g
- Language English 465
Categories
Long description:
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.
MoreTable of Contents:
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
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