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

Daniela Doroftei, Geert De Cubber, Hans De Smet

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférences › Contribution à une conférence › Revue par des pairs

Résumé

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

langue originale	Anglais
titre	Eighteenth International Conference on Autonomic and Autonomous Systems (ICAS)
Lieu de publication	Venice, Italy
Editeur	ThinkMind
ISBN (imprimé)	978-1-61208-966-9
Les DOIs	https://doi.org/https://www.thinkmind.org/index.php?view=article&articleid=icas_2022_1_40_20018
état	Publié - 1 juin 2022

Accès au document

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. (Promoteur) & Doroftei, L. (Chercheur)
1/01/19 → 31/12/23
Projet: Recherche

Contient cette citation

@inproceedings{479540f7f39d4a03b53f99f0c8c8bde5,

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",

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A quantitative measure for the evaluation of drone-based video quality on a target. / Doroftei, Daniela ; De Cubber, Geert ; De Smet, Hans.
Eighteenth International Conference on Autonomic and Autonomous Systems (ICAS). Venice, Italy: ThinkMind, 2022.

Résultats de recherche: Chapitre dans un livre, un rapport, des actes de conférences › Contribution à une conférence › Revue par des pairs

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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

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

PB - ThinkMind

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

Résumé

Accès au document

Projets

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

Contient cette citation