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GEM: Gaze-assisted Ego Motion (GEM) Dataset

Understanding the decision-making process of drivers is one of the keys to ensuring road safety. We propose a new dataset, GEM, which contains high-fidelity ego-motion videos paired with drivers' eye-tracking data and GPS coordinates.

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Cite this as

M. Eren Akbiyik, Nedko Savov, Christian Vater, Otmar Hilliges, Danda Pani Paudel, Luc Van Gool, Nikola Popovic, Xi Wang (2024). Dataset: GEM: Gaze-assisted Ego Motion (GEM) Dataset. https://doi.org/10.57702/qmnofwlb

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2312.08558
Author	M. Eren Akbiyik
More Authors	Nedko Savov Christian Vater Otmar Hilliges Danda Pani Paudel Luc Van Gool Nikola Popovic Xi Wang
Homepage	https:// eth-ait.github.io/ g-memp/