Depth learning methods for bridges inspection using UAV

Téléchargement	Voir la version finale : Depth learning methods for bridges inspection using UAV (PDF, 740 Kio)
Lien	https://www.intechopen.com/online-first/1153165
Auteur	Rechercher : Sekkati, Hicham¹; Rechercher : Lapointe, Jean-François¹
Affiliation	Conseil national de recherches Canada. Technologies numériques
Format	Texte, Article
Sujet	depth; 3D reconstruction; deep learning; bridge inspection; UAV
Résumé	This paper is investigating learning methods using depth as a cue measurement that can be used for bridge inspection. We investigate learning methods based on mono, stereo, and multiview image input and discuss the constraints that allow some methods to perform better than others in various scenarios. We go over the state-of-the-art deep learning methods, including supervised and unsupervised methods. These methods will be compared and evaluated, based on constraints, performance, and accuracy, and how top methods should be selected for each scenario. The same database should be used for fair comparison between all methods ensuring that evaluations are unbiased, replicable, and meaningful.
Date de publication	2023-08-25
Maison d’édition	IntechOpen
Licence	Creative Commons, Attribution 3.0 non transposé (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/deed.fr
Dans	Drones: Various Applications [Working Title] (7 février 2024).
Langue	anglais
Publications évaluées par des pairs	Oui
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	ec75122a-e32a-45e5-9f3d-c3fc71395755
Enregistrement créé	2023-09-08
Enregistrement modifié	2024-07-26

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Date de modification :: 2026-04-20