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3D Reconstruction with Drone Images: Optimization by Reinforcement Learning

Authors:
Thiago João Miranda Baldivieso
Taise Grazielle da Silva Batista
Luiz Carlos Pacheco Rodrigues Velho
Paulo Fernando Ferreira Rosa

Keywords: Dimensional Reconstruction; UAV; Aerophotogrammetry

Abstract:
This paper aims to develop three-dimensional reconstructions using aerial images in different environments and using dedicated software. The subject is relevant to this conference because, due to the characteristics of photogrammetry with UAV/drone, they provide easy access, accuracy, and time-saving and mission equipment for civil and military applications. During the study, experiments were carried out with aircraft in an external and internal environment. After acquiring aerial images, the reconstruction was carried out in specific photogrammetry software, with typical commercial and open-source software, followed by a qualitative evaluation of the results. Concluding with indications for improvements and future research work related to artificial intelligence techniques using machine learning and reinforcement learning to optimize.

Pages: 31 to 34

Copyright: Copyright (c) The Government of Brazil, 2021. Used by permission to IARIA.

Publication date: November 14, 2021

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-61208-918-8

Location: Athens, Greece

Dates: from November 14, 2021 to November 18, 2021