UMAD (Urban Minimum Altitude Dataset)
Introduced by Zhu et al. in LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF
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
Papers
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