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Human-Machine Interaction for Automated Vehicles
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Driver Status Monitoring and the Takeover Process
Besorgungstitel - wird vorgemerkt | Lieferzeit: Besorgungstitel - Lieferbar innerhalb von 10 Werktagen I
Artikel-Nr:
9780443189975
Veröffentl:
2023
Erscheinungsdatum:
25.05.2023
Seiten:
260
Autor:
Yifan Zhao
Gewicht:
450 g
Format:
229x153x15 mm
Sprache:
Englisch
Beschreibung:
Dr Yifan Zhao is a Reader in Data Science in the School of Aerospace, Transport and Manufacturing at Cranfield University and the academic lead of the Through-life Engineering Services Lab. He has over 20 years of experience in solving Inverse Problems based on computer vision, Artificial Intelligence (AI), signal processing, and nonlinear system identification. The covered themes include asset management of construction, non-destructive testing & evaluation (NDT&E) in Digital Manufacturing, driver monitoring and human-machine interface for Intelligent Transport, and brain functional imaging & analysis for Digital Healthcare. He has produced over 150 publications, 3 books and 3 patents.
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.
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