A quantitative measure for the evaluation of drone-based video quality on a target

Daniela Doroftei; Geert De Cubber; Hans De Smet

doi:https://www.thinkmind.org/index.php?view=article&articleid=icas_2022_1_40_20018

A quantitative measure for the evaluation of drone-based video quality on a target

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

Samenvatting

This paper presents a methodology to assess video quality and based on that automatically calculate drone trajectories that optimize the video quality.

Originele taal-2	Engels
Titel	Eighteenth International Conference on Autonomic and Autonomous Systems (ICAS)
Plaats van productie	Venice, Italy
Uitgeverij	ThinkMind
ISBN van geprinte versie	978-1-61208-966-9
DOI's	https://doi.org/https://www.thinkmind.org/index.php?view=article&articleid=icas_2022_1_40_20018
Status	Gepubliceerd - 1 jun. 2022

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https://www.thinkmind.org/index.php?view=article&articleid=icas_2022_1_40_20018

https://www.thinkmind.org/articles/icas_2022_1_40_20018.pdf

HFM/19-05: Simulation engine for military RPAS operations with integrated Human factors and standardised test methodologies - ALPHONSE
De Smet, H. (Promotor), Doroftei, L. (Onderzoeker) & Haelterman, R. (Onderzoeker)
1/01/19 → 31/12/22
Project: Onderzoek

Citeer dit

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title = "A quantitative measure for the evaluation of drone-based video quality on a target",

abstract = "This paper presents a methodology to assess video quality and based on that automatically calculate drone trajectories that optimize the video quality.",

keywords = "Robotics",

author = "Daniela Doroftei and \{De Cubber\}, Geert and \{De Smet\}, Hans",

year = "2022",

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AU - Doroftei, Daniela

AU - De Cubber, Geert

AU - De Smet, Hans

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N2 - This paper presents a methodology to assess video quality and based on that automatically calculate drone trajectories that optimize the video quality.

AB - This paper presents a methodology to assess video quality and based on that automatically calculate drone trajectories that optimize the video quality.

KW - Robotics

U2 - https://www.thinkmind.org/index.php?view=article&articleid=icas_2022_1_40_20018

DO - https://www.thinkmind.org/index.php?view=article&articleid=icas_2022_1_40_20018

M3 - Conference contribution

SN - 978-1-61208-966-9

BT - Eighteenth International Conference on Autonomic and Autonomous Systems (ICAS)

PB - ThinkMind

CY - Venice, Italy

ER -

A quantitative measure for the evaluation of drone-based video quality on a target

Samenvatting

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Projecten

HFM/19-05: Simulation engine for military RPAS operations with integrated Human factors and standardised test methodologies - ALPHONSE

Citeer dit