UAVA (M2ED Egocentric View)
- 1. CERTH
Description
The UAVA dataset us specifically designed for fostering applications which consider UAVs and humans as cooperative agents. We employ a real-world 3D scanned dataset (Matterport3D ), physically-based shading, a gamified simulator for realistic drone navigation trajectory collection and randomized sampling, to generate multimodal data both from the user’s exocentric view of the drone, as well as the drone’s egocentric view.
This is a subset of the UAVA dataset consisting of DJI M2ED drone renders (colour and depth) from an egocentric UAV view.
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
Access to the UAVA dataset requires to agree with the terms and conditions for each of the 3D model datasets (i.e. Matterport3D) that were used to create (i.e. render) it.
Therefore, in order to grant you access to this dataset, we need you to fill this request form.
After completing this form and requesting access from Zenodo, you will be granted access to this Zenodo repository to download this part of the UAVA dataset.
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