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dc.contributor.authorSmith, Neil
dc.contributor.authorMoehrle, Nils
dc.contributor.authorGoesele, Michael
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2018-12-05T06:39:48Z
dc.date.available2018-12-05T06:39:48Z
dc.date.issued2018-12-04
dc.identifier.citationSmith, N., Heidrich, W., Goesele, M., & Moehrle, N. (2018). UAV Pathplanning Dataset & Benchmark [Data set]. KAUST Research Repository. https://doi.org/10.25781/KAUST-SUHGA
dc.identifier.doi10.25781/KAUST-SUHGA
dc.identifier.urihttp://hdl.handle.net/10754/630159
dc.descriptionThis dataset consists of trajectories, proxy meshes and images generated for pathplanning on real and synthetic scenes. It includes a benchmarking tool allowing new trajectories to output camera images for reconstruction. The tool also allows error and completleness comparison with the groundtruth models and reconstructionsen_US
dc.relation.isreferencedbyNeil Smith, Nils Moehrle, Michael Goesele, Wolfgang Heidrich. "Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark," in SIGGRAPH ASIA, 2018en_US
dc.relation.urlhttps://vccimaging.org/Publications/Smith2018UAVPathPlanning/en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectpath planning, uav, drone, urban reconstructionen_US
dc.titleUAV Pathplanning Dataset & Benchmarken_US
dc.typeDataseten
dc.contributor.departmentVisual Computing Centeren_US
dc.contributor.institutionTU Darmstadten_US
refterms.dateFOA2018-12-01T00:00:00Z
kaust.request.doiyesen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
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