RT Journal Article
T1 Towards enhancing the safety of Advanced Air Mobility: Automatic 3D inter-urban modelling for improved weather monitoring
A1 Aldao Pensado, Enrique
A1 Veiga Piñeiro, Gonzalo
A1 Domínguez Estévez, Pablo
A1 Veiga López, Fernando
A1 Fontenla Carrera, Gabriel
A1 González Jorge, Higinio
A1 Martín Ortega, Elena Beatriz
K1 3301 Ingeniería y Tecnología Aeronáuticas
K1 2509.99 Otras
AB Abstract. Advanced Air Mobility (AAM) is an emerging sector that aims to optimise transportation in urban and interurban environments using Unmanned Aerial Vehicles (UAVs). However, these aircraft are particularly susceptible to adverse weather phenomena, such as turbulence or wind gusts. To ensure the safety of operations, high-resolution real-time atmospheric prediction models, such as those based on Computational Fluid Dynamics (CFD), are required. The development of these systems faces challenges as accurate geometric models of navigation environments are needed to simulate the interaction between the wind and the terrain and infrastructure. These models feature complex geometries, so they cannot be manually crafted, requiring automated processing of geospatial data sources. As the main novelty, this work presents a methodology for the automated modelling of interurban environments for CFD simulations using digital elevation models and georeferenced surface semantic classification data. A practical case study was developed in the outskirts of Vigo (Spain), where we demonstrate the effectiveness of our approach and its integration with the open-source CFD software OpenFOAM.
PB ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences
SN 21949050
YR 2024
FD 2024-06-27
LK http://hdl.handle.net/11093/7221
UL http://hdl.handle.net/11093/7221
LA eng
NO ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences, X-4/W5-2024, 1-7 (2024)
NO Agencia Estatal de Investigación | Ref. TED2021-129757B-C3
DS Investigo
RD 13-ene-2025