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 | |
dc.publisher | KAUST Research Repository | |
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 | |
dc.relation.url | https://vccimaging.org/Publications/Smith2018UAVPathPlanning/ | |
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 | |
dc.title | UAV Pathplanning Dataset & Benchmark | |
dc.type | Dataset | |
dc.contributor.department | Visual Computing Center | |
dc.contributor.institution | TU Darmstadt | |
dc.relation.issupplementto | DOI:10.1145/3272127.3275010 | |
refterms.dateFOA | 2018-12-01T00:00:00Z | |
kaust.request.doi | yes | |
display.relations | <b>Is Supplement To:</b><br/> <ul><li><i>[Article]</i> <br/> Neil Smith, Nils Moehrle, Michael Goesele, Wolfgang Heidrich. 2018. Aerial Path Planning for Urban Scene Reconstruction: A Continuous Optimization Method and Benchmark. ACM Trans. Graph. 37, 6, Article 183 (November 2018), 15 pages. DOI: <a href="https://doi.org/10.1145/3272127.3275010" >10.1145/3272127.3275010</a> Handle: <a href="http://hdl.handle.net/10754/628907" >10754/628907</a></a></li></ul> |