This paper presents a method for planning optimal trajectories with a team of Unmanned
Aerial Vehicles (UAVs) performing autonomous cinematography. The method is able to plan …

This paper presents a system for the execution of autonomous cinematography missions
with a team of drones. The system allows media directors to design missions involving …

Abstract Cinematography with Unmanned Aerial Vehicles (UAVs) is an emerging
technology promising to revolutionize media production. On the one hand, manually …

Object recognition, localization, and tracking play a role of primordial importance in
computer vision applications. However, it is still an extremely difficult task, particularly in …

This paper presents a centralized, vision-based method for robust, on-the-fly 3D localization
and mapping of human crowds in large-scale outdoor environments, assuming their …

Recent advances in Deep Reinforcement Learning (DRL) led to the development of
powerful agents that can learn how to perform complicated tasks in an end-to-end fashion …

Abstract Equipping Unmanned Aerial Vehicles (UAVs/drones) with professional cameras
has rapidly transformed the media production landscape in recent years. However, their …

We design a remote fault‐tolerant control for an industrial surveillance system. The designed
controller simultaneously tolerates the effects of local faults of a node, the propagated …

In this paper, a Bayesian method for fusing multiple visual human crowd detections (in the
form of heatmaps) under an autonomous UAV fleet deployment setting is proposed, aiming …

This paper details the development of a gimbal prototype employing Proportional, Integral
and Derivative (PID) controllers for camera stabilization and orientation control. The system …