Datasets › UMAD

UMAD (Urban Minimum Altitude Dataset)

Introduced by Zhenxin Zhu et al. in LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF18 Sep 2022 archive 2025-07-28

The UMAD is a virtual-scene dataset made by AirSim, which is a simulator built on Unreal Engine. In order to ensure the simulation data is as close to real as possible, on the one hand, we use a realistic city scene model which comes from Kirill Sibiriakov, on the other hand, we collect the vehicle motion data and camera data separately to enable the frequency and quality, which is derived from the method in the paper. In comparison to urban datasets which are created by using the oblique aerial photography technique, our dataset has higher fidelity when it comes to the texture details

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

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • UMAD

1 variant name, as the archive lists them.

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