Unmanned Aerial Vehicles - Groups

Geo-localization using satellite imagery and topography

The dataset used for image-based geo-localization using satellite imagery and topography for unmanned aerial vehicles.

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Data-Efﬁcient Deep Reinforcement Learning for Attitude Control of Fixed-Wing ...

The dataset used in this paper for attitude control of fixed-wing UAVs using deep reinforcement learning.

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VisDrone

Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging task. The recordings are mostly sparse and contain only small objects.

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VisDrone2018

The image object detection track on VisDrone2018 provides a dataset of 10,209 images, with 10 categories of pedestrians, vehicles, and other trafﬁc objects annotated.

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UAV-Assisted Vehicular Network

The dataset used in this paper is a Markov decision process (MDP) problem, where the UAV jointly adjusts its transmission control (power and channel) and 3D flight to maximize...

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VisDrone2019-Det

Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much attention in the research field of computer vision. However, not easy to accurately detect objects with...

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