The UAVA,UAV-Assistant, dataset is specifically designed for fostering applications which consider UAVs and humans as cooperative agents. We employ a real-world 3D scanned dataset (Matterport3D), physically-based rendering, a gamiﬁed simulator for realistic drone navigation trajectory collection, to generate realistic multimodal data both from the user’s exocentric view of the drone, as well as the drone’s egocentric view
With the advent of low-cost commercial mini-UAVs, new applications and ways of interactions have emerged. However, most of the existing UAV related datasets do not target such applications, prohibiting the development of data-driven methods. We introduce UAVA a dataset designed for facilitating the data-driven development of such methods. The dataset was created by leveraging an existing photorealistic dataset of indoor scenes, and by following a carefully designed gamification approach.
For the collection of realistic and unbiased trajectories, we developed a game on Unity3D using AirSim. Collectible cube “coins” were placed at each of the known panorama positions (anchors) and players were forced to navigate within the whole scene to collect the coins. We record the drone’s world pose among the scene at each time step t.
In the following link we provide the sampled trajectories for each scene as well as the recorded drone pose.
We use Blender to synthesize our dataset. For the egocentric “UAV” view we generate color images, depth, and surface maps, in addition to the optical ﬂow for two consecutive frames t, t + 1 sampled from the dense play-through trajectories. For the exocentric “user” view apart from the afforementioned modalities we also utilize a composition pipeline to add a photorealistically shared drone into the scene, and also generate its corresponding silhouette image.
We follow a two-step procedure to download the UAVA dataset.
Note that only completing one step of the two (i.e. only filling out the form, or only requesting access from the Zenodo repositories will not be enough to get access to the data. We will do our best to contact you in such cases and notify you to complete all steps as needed, but our mails may be lost (e.g. spam filters/folders). The only exception to this, is if you have already filled in the form and need access to another Zenodo repository (for example you need extra viewpoint renders which are hosted on different Zenodo repositories), then you only need to fill in the Zenodo request but please, make sure to mention that the form has already been filled in so that we can verify it.
Each volume is broken down in several
.zip files (2GB each) for more convinient downloading on low bandwidth connections. You need all the
.zip archives of each volume in order to extract the containing files.
We follow the same data-split logic as defined in Matterport3D.
This dataset has been generated within the European Union’s Horizon 2020 innovation programme FASTER under grant agreement No 833507.