Mostrar el registro sencillo del ítem

dc.contributor.authorSánchez Fernández, Antonio Jesús
dc.contributor.authorRomero-Gómez, Luis Felipe 
dc.contributor.authorBandera-Burgueño, Gerardo 
dc.contributor.authorTabik, Siham
dc.date.accessioned2024-02-08T16:13:51Z
dc.date.available2024-02-08T16:13:51Z
dc.date.issued2021-12-13
dc.identifier.citationA. J. Sanchez-Fernandez, L. F. Romero, G. Bandera and S. Tabik, "VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 944-955, 2022, doi: 10.1109/JSTARS.2021.3134948es_ES
dc.identifier.urihttps://hdl.handle.net/10630/30190
dc.description.abstractThe use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the land covered from the flight path a challenging objective, especially when the area to be monitored is irregular, large and includes many blind spots. Accordingly, state-of-the-art total viewshed algorithms can be of great help to analyze large areas and find new paths providing maximum visibility. This article shows how the total viewshed computation is a valuable tool for generating paths that provide maximum visibility during a flight. We introduce a new heuristic called visibility-based path planning (VPP) that offers a different solution to the path planning problem. VPP identifies the hidden areas of the target territory to generate a path that provides the highest visual coverage. Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. Our methodology and analysis can be easily applied to enhance monitoring in other large outdoor areas.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectIncendios - Prevención - Innovaciones tecnológicases_ES
dc.subjectVehículos autodirigidoses_ES
dc.subjectProgramación heurísticaes_ES
dc.subject.otherArea coveragees_ES
dc.subject.otherFire preventiones_ES
dc.subject.otherMonitoring pathes_ES
dc.subject.otherPath planninges_ES
dc.subject.otherTotal viewshedes_ES
dc.subject.otherUnmanned aerial vehicle (UAV)es_ES
dc.subject.otherVisibility analysises_ES
dc.titleVPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1109/JSTARS.2021.3134948
dc.rights.ccAttribution 4.0 Internacional
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Attribution 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 Internacional