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dc.contributor.authorSánchez Fernández, Andrés J.
dc.contributor.authorTabik, Siham 
dc.date.accessioned2022-02-09T13:17:41Z
dc.date.available2022-02-09T13:17:41Z
dc.date.issued2021-12-13
dc.identifier.citationA. J. Sanchez-Fernandez... [et al.]. "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.2021.3134948]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/72757
dc.descriptionThis work was partially supported by the Spanish Ministry of Science and Technology through the projects TIN2016-80920-R and PID2019-105396RB-I00, the Regional Government of Andalusia through the project A-TIC-458-UGR18 (DeepL-ISCO) within the Andalucia ERDF2014-20 Operational Programme, and the University of Malaga through the I Plan Propio de Investigacion.es_ES
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 bemonitored is irregular, large and includesmany 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 theMontes deMalaga 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.description.sponsorshipSpanish Government TIN2016-80920-R PID2019-105396RB-I00es_ES
dc.description.sponsorshipRegional Government of Andalusia within the Andalucia ERDF2014-20 Operational Programme A-TIC-458-UGR18es_ES
dc.description.sponsorshipUniversity of Malaga through the I Plan Propio de Investigaciones_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectArea coveragees_ES
dc.subjectFire prevention es_ES
dc.subjectMonitoring pathes_ES
dc.subjectPath planninges_ES
dc.subjectTotal viewshedes_ES
dc.subjectUnmanned aerial vehicle (UAV)es_ES
dc.subjectVisibility analysises_ES
dc.titleVPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Cameraes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1109/JSTARS.2021.3134948
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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