Human-Machine Interaction for Automated Vehicles: Driver Status
Monitoring and the Takeover Process explains how to design an
intelligent human-machine interface by characterising driver
behaviour before and during the take-over 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 of them, and this book
addresses all possibilities.Technical solutions to recognise
drivers' various behaviours in adaptive automated driving are
described with associated implications to the driving quality.
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.
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