dc.contributor.author | Fontenla Carrera, Gabriel | |
dc.contributor.author | Aldao Pensado, Enrique | |
dc.contributor.author | Veiga López, Fernando | |
dc.contributor.author | González Jorge, Higinio | |
dc.date.accessioned | 2023-10-20T09:44:29Z | |
dc.date.available | 2023-10-20T09:44:29Z | |
dc.date.issued | 2023-10-20 | |
dc.identifier.citation | Drones, 7(10): 642 (2023) | spa |
dc.identifier.issn | 2504446X | |
dc.identifier.uri | http://hdl.handle.net/11093/5266 | |
dc.description.abstract | Small fixed-wing electric Unmanned Aerial Vehicles (UAVs) are perfect candidates to perform tasks in wide areas, such as photogrammetry, surveillance, monitoring, or search and rescue, among others. They are easy to transport and assemble, have much greater range and autonomy, and reach higher speeds than rotatory-wing UAVs. Aiming to contribute towards their future
implementation, the objective of this article is to benchmark commercial, small, fixed-wing, electric UAVs and compatible RGB cameras to find the best combination for photogrammetry and data acquisition of mussel seeds and goose barnacles in a multi-region intertidal zone of the south coast of Galicia (NW of Spain). To compare all the options, a Coverage Path Planning (CPP) algorithm enhanced for fixed-wing UAVs to cover long areas with sharp corners was posed, followed by a Traveling Salesman Problem (TSP) to find the best route between regions. Results show that two options stand out from the rest: the Delair DT26 Open Payload with a PhaseOne iXM-100 camera (shortest path, minimum number of pictures and turns) and the Heliplane LRS 340 PRO with the Sony Alpha 7R IV sensor, finishing the task in the minimum time. | spa |
dc.description.sponsorship | Agencia Estatal de Investigación | Ref. PID2021-125060OB-I00 | spa |
dc.description.sponsorship | Agencia Estatal de Investigación | Ref. TED2021-129756B-C31 | spa |
dc.description.sponsorship | Ministerio de Universidades | Ref. FPU21/01176 | spa |
dc.description.sponsorship | Universidade de Vigo | spa |
dc.language.iso | eng | spa |
dc.publisher | Drones | spa |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/ PID2021-125060OB-I00/ES/ Movilidad aérea urbana segura y eficiente en vertipuertos basada en modelos CFD de micrometeorología (SAFEVERTIPORT) | |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/ TED2021-129756B-C31/ES/ Digitalización del espacio aéreo y marino para el despliegue de sistemas aéreos no tripulados aplicados al mantenimiento de parque eólicos offshore | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | A benchmarking of commercial small fixed-wing electric UAVs and RGB cameras for photogrammetry monitoring in intertidal multi-regions | en |
dc.type | article | spa |
dc.rights.accessRights | openAccess | spa |
dc.identifier.doi | https://doi.org/10.3390/drones7100642 | |
dc.identifier.editor | https://www.mdpi.com/2504-446X/7/10/642 | spa |
dc.publisher.departamento | Enxeñaría dos recursos naturais e medio ambiente | spa |
dc.publisher.grupoinvestigacion | Grupo de Ingeniería Física | spa |
dc.subject.unesco | 3301 Ingeniería y Tecnología Aeronáuticas | spa |
dc.date.updated | 2023-10-20T09:41:33Z | |
dc.computerCitation | pub_title=Drones|volume=7|journal_number=10|start_pag=642|end_pag= | spa |