Details
| Original language | English |
|---|---|
| Pages (from-to) | 63-70 |
| Number of pages | 8 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 42 |
| Issue number | 2W6 |
| Publication status | Published - 23 Aug 2017 |
| Event | 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, UAV-g 2017 - Bonn, Germany Duration: 4 Sept 2017 → 7 Sept 2017 |
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.
Keywords
- Autonomous flight, Building reconstruction, Flight planning, Laser scanning, Mobile multi-sensor platform, Flight Planning, Mobile Multi-Sensor Platform, Autonomous Flight, Building Reconstruction, Laser Scanning
ASJC Scopus subject areas
- Social Sciences(all)
- Geography, Planning and Development
- Computer Science(all)
- Information Systems
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 42, No. 2W6, 23.08.2017, p. 63-70.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - A Mobile Multi-Sensor Platform For Building Reconstruction Integrating Terrestrial And Autonomous UAV-Based Close Range Data Acquisition
AU - Cefalu, A.
AU - Haala, N.
AU - Schmohl, S.
AU - Neumann, I.
AU - Genz, T.
N1 - Funding Information: The presented research was performed as a part of the collaborative project "A mobile virtual mapping platform and mission management for the quality analysis and quality visualization of objects in 3D (MoVEQuaD)" between the company Geo-Office GmbH from Falkensee as well as the Geodetic Institute of Leibniz Universität Hannover and Institute of Photogrammetry of Universität Stuttgart, which is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) in the Central Innovation Programme for SMEs (ZIM Kooperationsprojekt, 16KN035280, 16KN035225 and 16KN035226). Publisher Copyright: © Authors 2017. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - 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.
AB - 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.
KW - Autonomous flight
KW - Building reconstruction
KW - Flight planning
KW - Laser scanning
KW - Mobile multi-sensor platform
KW - Flight Planning
KW - Mobile Multi-Sensor Platform
KW - Autonomous Flight
KW - Building Reconstruction
KW - Laser Scanning
UR - http://www.scopus.com/inward/record.url?scp=85030264166&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLII-2-W6-63-2017
DO - 10.5194/isprs-archives-XLII-2-W6-63-2017
M3 - Conference article
AN - SCOPUS:85030264166
VL - 42
SP - 63
EP - 70
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - 2W6
T2 - 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, UAV-g 2017
Y2 - 4 September 2017 through 7 September 2017
ER -