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dc.contributor.authorGonzález De Santos, Luis Miguel 
dc.contributor.authorMartínez Sánchez, Joaquín 
dc.contributor.authorGonzález Jorge, Higinio 
dc.contributor.authorArias Sánchez, Pedro 
dc.date.accessioned2021-03-12T09:09:59Z
dc.date.available2021-03-12T09:09:59Z
dc.date.issued2020-08-25
dc.identifier.citationISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B4-2020, 345-351 (2020)spa
dc.identifier.issn16821777
dc.identifier.urihttp://hdl.handle.net/11093/1862
dc.description.abstractUAV technology has become a useful tool for the inspection of infrastructures. Structural Health Monitoring methods are already implementing these vehicles to obtain information about the condition of the structure. Several systems based on close range remote sensing and contact sensors have been developed. In both cases, in order to perform autonomous missions in hard accessible areas or with obstacles, a path planning algorithm that calculates the trajectory to be followed by the UAV to navigate these areas is mandatory. This works presents a UAV path planning algorithm developed to navigate indoors and outdoors. This algorithm does not only calculate the waypoints of the path, but the orientation of the vehicle for each location. This algorithm will support a specific UAV-based contact inspection of vertical structures. The required input data consist of a point cloud of the environment, the initial position of the UAV and the target point of the structure where the contact inspection will be performed.spa
dc.description.sponsorshipUniversidade de Vigo | Ref. 00Vl 131H 641.02spa
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad (España) | Ref. TIN2016-77158-C4-2-Rspa
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad (España) | Ref. RTC-2016-5257-7spa
dc.description.sponsorshipEuropean Regional Development Fund (ERDF) | Ref. EAPA_826/2018spa
dc.language.isoengspa
dc.publisherISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciencesspa
dc.titlePath planning for indoor contact inspection tasks with UAVSspa
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.5194/isprs-archives-XLIII-B4-2020-345-2020
dc.identifier.editorhttps://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/345/2020/spa
dc.publisher.departamentoEnxeñaría dos recursos naturais e medio ambientespa
dc.publisher.grupoinvestigacionXeotecnoloxías Aplicadasspa
dc.subject.unesco3311.02 Ingeniería de Controlspa
dc.subject.unesco1203.25 Diseño de Sistemas Sensoresspa
dc.subject.unesco1203.14 Sistemas de Control del Entornospa
dc.date.updated2021-03-10T19:11:40Z
dc.computerCitationpub_title=ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences|volume=XLIII-B4-2020|journal_number=|start_pag=345|end_pag=351spa
dc.referencesThis research is funded by the Universidade de Vigo (grant ref. 00Vl 131H 641.02) and the Ministerio de Economia, Industria y Competitividad, Gobierno de España (TIN2016- 77158-C4-2-R, RTC-2016-5257-7). This project is co-financed by the INTERREG Atlantic Area Programme through the European Regional Development Fund (ERDF) with application code: EAPA_826/2018spa


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