A Multiple-UAV Software Architecture for Autonomous Media Production

Ioannis Mademlis, Arturo Torres-González, Jesús Capitán, Rita Cunha, Bruno João Nogueira Guerreiro, Alberto Messina, Fulvio Negro, Cedric Le Barz, Tiago Gonçalves, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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The use of UAVs in media production has taken off during the past few years, with increasingly more functions becoming automated. However, current solutions leave a lot to be desired with regard to autonomy and drone fleet support.
This paper presents a novel, complete software architecture suited to an intelligent, multiple-UAV platform for media production/cinematography applications, covering outdoor events (e.g., sports) typically distributed over large expanses. Increased multiple drone decisional autonomy, so as to minimize production crew load, and improved multiple drone robustness/safety mechanisms (e.g., regarding communications, flight regulation compliance, crowd avoidance and emergency landing mechanisms) are supported.
Original languageEnglish
Title of host publicationWorkshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019
Number of pages5
Publication statusPublished - 2019
Event27th European Signal Processing Conference, EUSIPCO 2019 - A Coruña, Spain
Duration: 2 Sep 20196 Sep 2019


Conference27th European Signal Processing Conference, EUSIPCO 2019
CityA Coruña


  • media production
  • UAV fleet
  • UAV cinematography
  • autonomous drones


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