Autonomous Route Planning for UAV-Based 3D Reconstruction

This study presents an innovative approach for the autonomous navigation of unmanned aerial vehicles (UAVs) in complex three-dimensional environments. By implementing the Rapidly Exploring Random Tree (RRT) algorithm, the system can efficiently plot safe flight paths that avoid obstacles of varying...

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Main Authors: César Gómez Arnaldo, Francisco Pérez Moreno, María Zamarreño Suárez, Raquel Delgado-Aguilera Jurado
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/90/1/78
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author César Gómez Arnaldo
Francisco Pérez Moreno
María Zamarreño Suárez
Raquel Delgado-Aguilera Jurado
author_facet César Gómez Arnaldo
Francisco Pérez Moreno
María Zamarreño Suárez
Raquel Delgado-Aguilera Jurado
author_sort César Gómez Arnaldo
collection DOAJ
description This study presents an innovative approach for the autonomous navigation of unmanned aerial vehicles (UAVs) in complex three-dimensional environments. By implementing the Rapidly Exploring Random Tree (RRT) algorithm, the system can efficiently plot safe flight paths that avoid obstacles of varying shapes and sizes. The discussion includes the technical obstacles faced and the strategies employed to overcome them, leading to the successful development of collision-free navigation routes. This foundational work aims to support future projects that will further refine the system through extensive simulations and real-world UAV deployments for tasks such as image capture and structural inspections.
format Article
id doaj-art-7fed808e34164fbcb67a9ab6fa8b1d34
institution Kabale University
issn 2673-4591
language English
publishDate 2025-03-01
publisher MDPI AG
record_format Article
series Engineering Proceedings
spelling doaj-art-7fed808e34164fbcb67a9ab6fa8b1d342025-08-20T03:27:10ZengMDPI AGEngineering Proceedings2673-45912025-03-019017810.3390/engproc2025090078Autonomous Route Planning for UAV-Based 3D ReconstructionCésar Gómez Arnaldo0Francisco Pérez Moreno1María Zamarreño Suárez2Raquel Delgado-Aguilera Jurado3Department of Aerospace Systems, Air Transport and Airports, Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainDepartment of Aerospace Systems, Air Transport and Airports, Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainDepartment of Aerospace Systems, Air Transport and Airports, Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainDepartment of Aerospace Systems, Air Transport and Airports, Universidad Politécnica de Madrid (UPM), 28040 Madrid, SpainThis study presents an innovative approach for the autonomous navigation of unmanned aerial vehicles (UAVs) in complex three-dimensional environments. By implementing the Rapidly Exploring Random Tree (RRT) algorithm, the system can efficiently plot safe flight paths that avoid obstacles of varying shapes and sizes. The discussion includes the technical obstacles faced and the strategies employed to overcome them, leading to the successful development of collision-free navigation routes. This foundational work aims to support future projects that will further refine the system through extensive simulations and real-world UAV deployments for tasks such as image capture and structural inspections.https://www.mdpi.com/2673-4591/90/1/78unmanned aerial vehicles (UAVs)path planningrapidly exploring random tree (RRT) algorithmimage segmentationsimulation testing
spellingShingle César Gómez Arnaldo
Francisco Pérez Moreno
María Zamarreño Suárez
Raquel Delgado-Aguilera Jurado
Autonomous Route Planning for UAV-Based 3D Reconstruction
Engineering Proceedings
unmanned aerial vehicles (UAVs)
path planning
rapidly exploring random tree (RRT) algorithm
image segmentation
simulation testing
title Autonomous Route Planning for UAV-Based 3D Reconstruction
title_full Autonomous Route Planning for UAV-Based 3D Reconstruction
title_fullStr Autonomous Route Planning for UAV-Based 3D Reconstruction
title_full_unstemmed Autonomous Route Planning for UAV-Based 3D Reconstruction
title_short Autonomous Route Planning for UAV-Based 3D Reconstruction
title_sort autonomous route planning for uav based 3d reconstruction
topic unmanned aerial vehicles (UAVs)
path planning
rapidly exploring random tree (RRT) algorithm
image segmentation
simulation testing
url https://www.mdpi.com/2673-4591/90/1/78
work_keys_str_mv AT cesargomezarnaldo autonomousrouteplanningforuavbased3dreconstruction
AT franciscoperezmoreno autonomousrouteplanningforuavbased3dreconstruction
AT mariazamarrenosuarez autonomousrouteplanningforuavbased3dreconstruction
AT raqueldelgadoaguilerajurado autonomousrouteplanningforuavbased3dreconstruction