A MOBILE MULTI-SENSOR PLATFORM FOR BUILDING RECONSTRUCTION INTEGRATING TERRESTRIAL AND AUTONOMOUS UAV-BASED CLOSE RANGE DATA ACQUISITION
| Autor: | Cefalu, A., Haala, N., Schmohl, S., Neumann, I., Genz, T., Stachniss, C., Schneider, J., Förstner, W. |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Automatic identification and data capture Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau Point cloud Complex networks ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Unmanned aerial vehicles (UAV) lcsh:Technology 01 natural sciences Software Data acquisition Autonomous flight 0202 electrical engineering electronic engineering information engineering Computer vision Buildings Stereo image processing Laser scanning Konferenzschrift lcsh:T business.industry Flight planning 010401 analytical chemistry lcsh:TA1501-1820 Multi-sensor platforms 020206 networking & telecommunications Building reconstruction Cameras Mobile multi-sensor platform 0104 chemical sciences Geography Photogrammetry lcsh:TA1-2040 Feature (computer vision) Proof of concept Artificial intelligence ddc:620 lcsh:Engineering (General). Civil engineering (General) business |
| Zdroj: | International Conference on Unmanned Aerial Vehicles in Geomatics The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-2/W6 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W6, Pp 63-70 (2017) |
| ISSN: | 2194-9034 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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