Artículo
A multiple-UAV architecture for autonomous media production
Autor/es | Mademlis, Ioannis
Torres González, Arturo Eugenio Capitán Fernández, Jesús |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2022 |
Fecha de depósito | 2022-08-16 |
Publicado en |
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Resumen | Cinematography with Unmanned Aerial Vehicles (UAVs) is an emerging technology promising to revolutionize media production. On the one hand, manually controlled drones already provide advantages, such as flexible shot setup, ... Cinematography with Unmanned Aerial Vehicles (UAVs) is an emerging technology promising to revolutionize media production. On the one hand, manually controlled drones already provide advantages, such as flexible shot setup, opportunities for novel shot types and access to difficult-to-reach spaces and/or viewpoints. Moreover, little additional ground infrastructure is required. On the other hand, enhanced UAV cognitive autonomy would allow both easier cinematography planning (from the Director’s perspective) and safer execution of that plan during actual filming; while integrating multiple UAVs can additionally augment the cinematic potential. In this paper, a novel multiple-UAV software/hardware architecture for media production in outdoor settings is proposed. The architecture encompasses mission planning and control under safety constraints, enhanced cognitive autonomy through visual analysis, human-computer interfaces and communication infrastructure for platform scalability with Quality-of-Service provisions. Finally, the architecture is demonstrated via a relevant subjective study on the adequacy of UAV and camera parameters for different cinematography shot types, as well as with field experiments where multiple UAVs film outdoor sports events. |
Identificador del proyecto | N. 731667 |
Cita | Mademlis, I., Torres-González, A. y Capitán, J. [et al.] (2022). A multiple-UAV architecture for autonomous media production. Multimedia Tools and Applications, |
Ficheros | Tamaño | Formato | Ver | Descripción |
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MTA_2022_Mademlis_Capitan_AMul ... | 8.045Mb | [PDF] | Ver/ | |