Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents
Christian Pfeiffer,
Simon Wengeler,
Antonio Loquercio
et al.
Abstract:Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be related to the ability of human pilots to select task-relevant visual information effectively. This work investigates whether neural networks capable of imitating human eye gaze behavior and attention can improve neural networks' performance for the challenging task of vision-based autonomous drone racing. We hypothesize that gaze-based attention prediction can be an efficient mechanism for visual information s… Show more
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