A mobile multi-sensor platform for building reconstruction integrating terrestrial and autonomous UAV-based close range data acquisition

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dc.identifier.uri http://dx.doi.org/10.15488/2650http://dx.doi.org/10.15488/2650
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2676
dc.contributor.author Cefalu, A.
dc.contributor.author Haala, N.
dc.contributor.author Schmohl, S.
dc.contributor.author Neumann, I.
dc.contributor.author Genz, T.
dc.date.accessioned 2018-01-19T12:03:39Z
dc.date.available 2018-01-19T12:03:39Z
dc.date.issued 2017
dc.identifier.citation Cefalu, A.; Haala, N.; Schmohl, S.; Neumann, I.; Genz, T.: A mobile multi-sensor platform for building reconstruction integrating terrestrial and autonomous UAV-based close range data acquisition. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2017), Nr. 2W6, S. 63-70. DOI: https://doi.org/10.5194/isprs-archives-XLII-2-W6-63-2017
dc.description.abstract Photogrammetric data capture of complex 3D objects using UAV imagery has become commonplace. Software tools based on algorithms like Structure-from-Motion and multi-view stereo image matching enable the fully automatic generation of densely meshed 3D point clouds. In contrast, the planning of a suitable image network usually requires considerable effort of a human expert, since this step directly influences the precision and completeness of the resulting point cloud. Planning of suitable camera stations can be rather complex, in particular for objects like buildings, bridges and monuments, which frequently feature strong depth variations to be acquired by high resolution images at a short distance. Within the paper, we present an automatic flight mission planning tool, which generates flight lines while aiming at camera configurations, which maintain a roughly constant object distance, provide sufficient image overlap and avoid unnecessary stations. Planning is based on a coarse Digital Surface Model and an approximate building outline. As a proof of concept, we use the tool within our research project MoVEQuaD, which aims at the reconstruction of building geometry at sub-centimetre accuracy. eng
dc.language.iso eng
dc.publisher London : International Society for Photogrammetry and Remote Sensing
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2017), Nr. 2W6
dc.rights CC BY 4.0
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Autonomous flight eng
dc.subject Building reconstruction eng
dc.subject Flight planning eng
dc.subject Laser scanning eng
dc.subject Mobile multi-sensor platform eng
dc.subject Buildings eng
dc.subject Cameras eng
dc.subject Complex networks eng
dc.subject Data acquisition eng
dc.subject Unmanned aerial vehicles (UAV) eng
dc.subject Autonomous flight eng
dc.subject Building reconstruction eng
dc.subject Flight planning eng
dc.subject Laser scanning eng
dc.subject Multi-sensor platforms eng
dc.subject Stereo image processing eng
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title A mobile multi-sensor platform for building reconstruction integrating terrestrial and autonomous UAV-based close range data acquisition
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 16821750
dc.relation.doi https://doi.org/10.5194/isprs-archives-XLII-2-W6-63-2017
dc.bibliographicCitation.issue 2W6
dc.bibliographicCitation.volume 42
dc.bibliographicCitation.firstPage 63
dc.bibliographicCitation.lastPage 70
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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