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

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

DEE - Departamento de Engenharia Electrotécnica e de Computadores

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

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 language	English
Title of host publication	Workshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019
Number of pages	5
Publication status	Published - 2019
Event	27th European Signal Processing Conference, EUSIPCO 2019 - A Coruña, Spain Duration: 2 Sep 2019 → 6 Sep 2019

Conference

Conference	27th European Signal Processing Conference, EUSIPCO 2019
Country	Spain
City	A Coruña
Period	2/09/19 → 6/09/19

Keywords

media production
UAV fleet
UAV cinematography
autonomous drones

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Mademlis, Ioannis ; Torres-González, Arturo ; Capitán, Jesús ; Cunha, Rita ; Guerreiro, Bruno João Nogueira ; Messina, Alberto ; Negro, Fulvio ; Le Barz, Cedric ; Gonçalves, Tiago ; Tefas, Anastasios ; Nikolaidis, Nikos ; Pitas, Ioannis . / A Multiple-UAV Software Architecture for Autonomous Media Production. Workshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019. 2019.

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title = "A Multiple-UAV Software Architecture for Autonomous Media Production",

abstract = "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.",

keywords = "media production, UAV fleet, UAV cinematography, autonomous drones",

author = "Ioannis Mademlis and Arturo Torres-Gonz{\'a}lez and Jes{\'u}s Capit{\'a}n and Rita Cunha and Guerreiro, {Bruno Jo{\~a}o Nogueira} and Alberto Messina and Fulvio Negro and {Le Barz}, Cedric and Tiago Gon{\c c}alves and Anastasios Tefas and Nikos Nikolaidis and Ioannis Pitas",

note = "info:eu-repo/grantAgreement/EC/H2020/731667/EU# ; 27th European Signal Processing Conference, EUSIPCO 2019 ; Conference date: 02-09-2019 Through 06-09-2019",

year = "2019",

language = "English",

booktitle = "Workshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019",

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Mademlis, I, Torres-González, A, Capitán, J, Cunha, R, Guerreiro, BJN, Messina, A, Negro, F, Le Barz, C, Gonçalves, T, Tefas, A, Nikolaidis, N & Pitas, I 2019, A Multiple-UAV Software Architecture for Autonomous Media Production. in Workshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019. 27th European Signal Processing Conference, EUSIPCO 2019, A Coruña, Spain, 2/09/19.

A Multiple-UAV Software Architecture for Autonomous Media Production. / Mademlis, Ioannis; Torres-González, Arturo; Capitán, Jesús; Cunha, Rita; Guerreiro, Bruno João Nogueira ; Messina, Alberto; Negro, Fulvio ; Le Barz, Cedric; Gonçalves, Tiago; Tefas, Anastasios; Nikolaidis, Nikos ; Pitas, Ioannis .

Workshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019. 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Multiple-UAV Software Architecture for Autonomous Media Production

AU - Mademlis, Ioannis

AU - Torres-González, Arturo

AU - Capitán, Jesús

AU - Cunha, Rita

AU - Guerreiro, Bruno João Nogueira

AU - Messina, Alberto

AU - Negro, Fulvio

AU - Le Barz, Cedric

AU - Gonçalves, Tiago

AU - Tefas, Anastasios

AU - Nikolaidis, Nikos

AU - Pitas, Ioannis

N1 - info:eu-repo/grantAgreement/EC/H2020/731667/EU#

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - media production

KW - UAV fleet

KW - UAV cinematography

KW - autonomous drones

UR - https://www.researchgate.net/publication/333720218_A_Multiple-UAV_Software_Architecture_for_Autonomous_Media_Production

M3 - Conference contribution

BT - Workshop on Signal Processing Computer vision and Deep Learning for Autonomous Systems, EUSIPCO2019

T2 - 27th European Signal Processing Conference, EUSIPCO 2019

Y2 - 2 September 2019 through 6 September 2019

ER -

A Multiple-UAV Software Architecture for Autonomous Media Production

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