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.

Data and Resources

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

DOI retrieved: December 3, 2024

Additional Info

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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/