A Comparison of Deep Neural Networks for Monocular Depth Map Estimation in Natural Environments Flying at Low Altitude

A Comparison of Deep Neural Networks for Monocular Depth Map Estimation in Natural Environments Flying at Low Altitude

Currently, the use of Unmanned Aerial Vehicles (UAVs) in natural and complex environments has been increasing, because they are appropriate and affordable solutions to support different tasks such as rescue, forestry, and agriculture by collecting and analyzing high-resolution monocular images. Auto...

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Bibliographic Details
Main Authors: Alexandra Romero-Lugo, Andrea Magadan-Salazar, Jorge Fuentes-Pacheco, Raúl Pinto-Elías
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
deep learning
monocular depth estimation
unmanned aerial vehicles
Online Access:https://www.mdpi.com/1424-8220/22/24/9830

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