An approach to Simulation & Navigation of Autonomous 2 Unmanned Aerial Vehicle in 3D

Ribayee, Mubeen and Anicho, Ogbonnaya and Secco, Emanuele Lindo (2025) An approach to Simulation & Navigation of Autonomous 2 Unmanned Aerial Vehicle in 3D. Drones and Autonomous Vehicles, 2.

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Abstract

Drone simulation refers to the emulation of Unmanned Aerial Vehicles (UAVs) in a virtual environment, replicating 11 real-world conditions to study and test the behavior, performance, and functionalities of drones. This paper explores the simulation 12 of UAVs in the Unreal Engine environment using MAVProxy and the Python library DroneKit. By leveraging the computational 13 capabilities of computers, this approach enables precise visualization and control of UAV flight dynamics in three dimensions. The 14 use of Blueprints in Unreal Engine facilitates a cost-effective and accessible simulation process, allowing engineers and scientists 15 to refine their UAV designs before real-world deployment. Results shows the applicability of this approach vs different 16 environments where alternative approach also emerges as a viable option for visualizing textured buildings. This approach shows 17 the power of open-source collaboration in advancing innovative solutions in the dynamic field of science and technology

Item Type:	Article
Additional Information and Comments:	© 2025 The authors. This is an open access article under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Faculty / Department:	Faculty of Human and Digital Sciences > School of Computer Science and the Environment
Depositing User:	Emanuele Secco
Date Deposited:	01 Oct 2025 15:31
Last Modified:	01 Oct 2025 15:31
URI:	https://hira.hope.ac.uk/id/eprint/4751

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