May 2023
Intermediate to advanced
260 pages
7h 12m
English
Content preview from Human-Machine Interaction for Automated Vehicles
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Chapter ten
Driver steering intention prediction using neuromuscular dynamics
Abstract
The emerging automated driving technology poses a new challenge to driver–automation collaboration, which requires a mutual understanding between humans and machines through their intention identifications. In this study, oriented by human–machine mutual understanding, a driver steering intention prediction method is proposed to better understand human driver’s expectation during driver–vehicle interaction. The steering intention is predicted based on a novel hybrid-learning-based time-series model with deep learning networks. Two different driving modes, namely both-hand and single right-hand driving modes, are studied. Different electromyography signals from ...
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