Datasets › AUT-VI
AUT-VI (Amirkabir campus dataset)
AUT-VI is a super-challenging visual inertial dataset with 126 diverse sequences in 17 locations. This dataset contains dynamic objects, challenging loop-closure/map-reuse, different lighting conditions, reflections, and sudden camera movements to cover all extreme navigation scenarios. Moreover, the Android application for data capture is released to the public to support ongoing development efforts. This dataset aims to exploit the remaining challenges in VIO algorithms, in the hope of improving them to facilitate navigation for visually impaired individuals in both indoor and outdoor settings.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- AUT-VI
1 variant name, as the archive lists them.
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