May 2023
Intermediate to advanced
260 pages
7h 12m
English
Content preview from Human-Machine Interaction for Automated Vehicles
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Chapter two
Driver behaviour recognition based on eye gaze
Abstract
Characterisation of the driver’s nondriving activities (NDAs) is of great importance to the design of the take-over control strategy in Level 3 automation. Gaze estimation is a typical approach to monitor the driver’s behaviour since the eye gaze is normally engaged with the human activities. However, current eye-gaze tracking techniques are either costly or intrusive which limits their applicability in vehicles. This chapter proposes a low-cost and nonintrusive dual camera–based gaze mapping system that visualises the driver’s gaze using a heat map. The challenges introduced by complex head movement during NDAs and camera distortion are addressed by proposing a nonlinear polynomial ...
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