UAV Pathplanning Dataset & Benchmark
| dc.contributor.author | Smith, Neil | |
| dc.contributor.author | Moehrle, Nils | |
| dc.contributor.author | Goesele, Michael | |
| dc.contributor.author | Heidrich, Wolfgang | |
| dc.date.accessioned | 2018-12-05T06:39:48Z | |
| dc.date.available | 2018-12-05T06:39:48Z | |
| dc.date.issued | 2018-12-04 | |
| dc.identifier.citation | Smith, 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.doi | 10.25781/KAUST-SUHGA | |
| dc.identifier.uri | http://hdl.handle.net/10754/630159 | |
| dc.description | This 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 | en_US |
| dc.relation.isreferencedby | Neil Smith, Nils Moehrle, Michael Goesele, Wolfgang Heidrich. "Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark," in SIGGRAPH ASIA, 2018 | en_US |
| dc.relation.url | https://vccimaging.org/Publications/Smith2018UAVPathPlanning/ | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | path planning, uav, drone, urban reconstruction | en_US |
| dc.title | UAV Pathplanning Dataset & Benchmark | en_US |
| dc.type | Dataset | en |
| dc.contributor.department | Visual Computing Center | en_US |
| dc.contributor.institution | TU Darmstadt | en_US |
| refterms.dateFOA | 2018-12-01T00:00:00Z | |
| kaust.request.doi | yes | en_US |
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