6 datasets found

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

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

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

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.

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...

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...