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UAVA (M2ED Egocentric View)

Name: UAVA (M2ED Egocentric View)
Keywords: Pose Estimation, Photorealistic Dataset, Computer Vision, Indoor Scenes, Graphics, Robotics, UAVs

Research datakeyboard_double_arrow_right Dataset 21 Aug 2020Publisher:ZenodoFunded by:EC | FASTER

Authors: Albanis, Georgios; Zioulis, Nikolaos; Dimou, Anastasios; Zarpalas, Dimitrios; Daras, Petros;

doi: 10.5281/zenodo.3994461 , 10.5281/zenodo.3994337 , 10.5281/zenodo.3994336 , 10.5281/zenodo.3994460

UAVA (M2ED Egocentric View)

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Abstract

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.

Keywords

Pose Estimation, Photorealistic Dataset, Computer Vision, Indoor Scenes, Graphics, Robotics, UAVs

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