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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 reconstructions
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, 2018
dc.relation.urlhttps://vccimaging.org/Publications/Smith2018UAVPathPlanning/
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 reconstruction
dc.titleUAV Pathplanning Dataset & Benchmark
dc.typeDataset
dc.contributor.departmentVisual Computing Center
dc.contributor.institutionTU Darmstadt
refterms.dateFOA2018-12-01T00:00:00Z
kaust.request.doiyes


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