Where and What: Driver Attention-based Object Detection
Yao Rong,
Naemi-Rebecca Kassautzki,
Wolfgang Fuhl
et al.
Abstract:Human drivers use their attentional mechanisms to focus on critical objects and make decisions while driving. As human attention can be revealed from gaze data, capturing and analyzing gaze information has emerged in recent years to benefit autonomous driving technology. Previous works in this context have primarily aimed at predicting "where" human drivers look at and lack knowledge of "what" objects drivers focus on. Our work bridges the gap between pixel-level and object-level attention prediction. Specific… Show more
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