Work

Autonomous Route Planning for UAV-Based 3D Reconstruction

Year: 2025

Type: conference-paper

Abstract: 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.

DOI: 10.3390/engproc2025090078

Authors: César Gómez Arnaldo, Francisco Pérez Moreno, María Zamarreño Suárez, Raquel Delgado-Aguilera Jurado

Institution: Universidad Politécnica de Madrid

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

OpenAlex ID: W4408917840

FWCI: 0.785

Cites: 22

Cited by: 1

Related to: 10