Research projects
This page is a repository of ongoing and completed research projects in which Aerolab has participated. Collaboration with other research centers, universities and industrial companies made this possible.
Sustainability And Resilience for Infrastructure and Logistics networks
SARIL aims to expand the traditional definition of resilience by integrating green aspects and quantifying both the system's resistance to disruptions and the environmental impact of freight transpor.
Models will be developed to assess the impact of floods, cyberattacks, wildfires, pandemics, and armed conflicts on the current transport system. Similarities and differences in resilience across regions will be obtained and recommendations to improve current approaches are expected to be delivered.
RIIM
Railway Inspection and Information Model
RIIM aims to detect and geolocate cracks and imperfection in railways and ballast using LiDAR, photogrammetry and AI-based algorithms.
The system will be implemented in a low-speed (around 15 km/h) dresine for railway inspection.
AIRIS
Adapative and Intelligent Railways Inspection System
AIRIS is a natural evolution of project RIIM. Again, it aims to detect and geolocate cracks and imperfection in railways and ballast using LiDAR, photogrammetry and AI-based algorithms.
The challenge operate at higher velocities (around 60 km/h) to expedite the inspections and to be able to operate in unfriendly environments like a dessert.
Project CPP2022-009679 financed by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/ PRTR.
VIGOUR
Vixiancia de plantas Invasoras na Galicia OURensana
VIGOUR aims to make use of aerial imaginery to automatically pinpoint uncontrolled acacia areas in the rural area of Ourense, which endanger biodiversity of the area.
As a main actor of the Galician Marine Sciences Programme, funded by the Next Generation EU Programme, Aerolab carries out photogrammetric flights at various locations on the Galician coast (Baiona, Moaña, Illa de Arousa and Cabo Home). We generate high-resolution orthomosaics to analyse the distribution of macroalgae in these regions.
In addition, Aerolab has monitored groundwater discharges in more than 50 ha of the Galician intertidal area by means of thermal flights and photogrammetric reconstructions.
EAGLE
Dixitalización do espazo aéreo e mariño para o despregue de sistemas aéreos non tripulados aplicados ao mantemento de parques eólicos offshore
Project led by the University of Vigo, with the participation of the University of A Coruña and CATEC. The main goal is the digitalization of air and sea space for the deployment of Unmanned Aerial Systems (UAS) applied to the maintenance of offshore wind farms. We optimise the route of a UAV and a support vessel to carry out inspections and verify their viability by applying the study to the Nordes offshore wind farm.
GALDRON
Empleo de drones para implementar un sistema de ganadería de precisión en vacuno y equino criados en extensivo
Implementation of the use of drones in extensive cattle and equine livestock in collaboration with Ganadería Autóctona S.L.U. and Fundación Centro Tecnolóxico da Carne (CETECA). Equipped with cameras and GPS systems for identifying and tracking livestock, drones allow for monitoring the condition of fences, preventing escapes; detecting sick or dead animals; evaluating pastures; and even assisting in herding with the use of speakers.
We expect to increase the efficiency and production while reducing the heavy workload for staff, aligning our efforts with the national Common Agricultural Policy 2023-2027 (PAC 2023-2027), promoting precision agriculture by modernizing and digitalizing the sector and making it more attractive for generational renewal.
SAFE-VERTIPORT
SAFE-VERTIPORT is devoted to the development of CFD (Computational Fluid Dynamics) solutions for weather forecasting applications in vertiports. These models require high-resolution 3D representations of the environments, which are not readily available for most cities. Aerolab members are developing new automatic 3D modeling solutions for the implementation of CFD forecasting systems in a comprehensive and efficient manner. The proposed tool employs open-source geospatial information to generate CFD-ready meshes adaptable to user requirements and available computational resources. As a proof of concept, a case study is being developed on the Ourense campus, where the Aerolab team is validating the accuracy of the proposed solutions through experimental wind measurement campaigns.
