Datasets › AutoLand
AutoLand (An Autonomous UAV Navigation and Landing System for Urban Search and Rescue Missions)
To faciliate training of neural networks and evaluation of alternate approaches for landing, we provide a synthetic dataset comprised of collapsed buildings. The dataset consists of 1,281,125 RGB images with corresponding groundtruth for depth, surface normals, semantics and camera pose information. In order to have diverse viewing angles, we varied the tilt of the camera from 0◦ to 55◦ in steps of 5◦, the pan of the camera from 0◦ to 360◦ in steps of 45◦, and we also varied the height of the UAV during data collection from 10 m to 30 m in steps of 5 m. Annotations are provided for the following classes: sky, houses, road, rocks, flora, terrain, trees, cars, and others.
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 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
http://autoland.cs.uni-freiburg.de/static/docs/ais-la-autoland.pdf
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- AutoLand
1 variant name, as the archive lists them.
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