- Title
- Preliminary tests of a new low-cost photogrammetric system
- Creator
- Santise, M.; Thoeni, K.; Roncella, R.; Sloan, S. W.; Giacomini, A.
- Relation
- 5th International Workshop LowCost 3D - Sensors, Algorithms, Applications. 5th International Workshop LowCost 3D - Sensors, Algorithms, Applications, 28-29 November 2017, Hamburg, Germany [presented in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2/W8, 2017] (Hamburg, Germany 28-29 November, 2017) p. 229-236
- Relation
- Funding BodyARCGrant NumberLP160100370 http://purl.org/au-research/grants/arc/LP160100370
- Publisher Link
- http://dx.doi.org/10.5194/isprs-archives-XLII-2-W8-229-2017
- Publisher
- International Society for Photogrammetry and Remote Sensing
- Resource Type
- conference paper
- Date
- 2017
- Description
- This paper presents preliminary tests of a new low-cost photogrammetric system for 4D modelling of large scale areas for civil engineering applications. The system consists of five stand-alone units. Each of the units is composed of a Raspberry Pi 2 Model B (RPi2B) single board computer connected to a PiCamera Module V2 (8 MP) and is powered by a 10 W solar panel. The acquisition of the images is performed automatically using Python scripts and the OpenCV library. Images are recorded at different times during the day and automatically uploaded onto a FTP server from where they can be accessed for processing. Preliminary tests and outcomes of the system are discussed in detail. The focus is on the performance assessment of the low-cost sensor and the quality evaluation of the digital surface models generated by the low-cost photogrammetric systems in the field under real test conditions. Two different test cases were set up in order to calibrate the low-cost photogrammetric system and to assess its performance. First comparisons with a TLS model show a good agreement.
- Subject
- low cost; digital surface model; accuracy assessment; photogrammetry; raspberry pi; 3D reconstruction
- Identifier
- http://hdl.handle.net/1959.13/1386487
- Identifier
- uon:32427
- Rights
- © Author(s) 2017. This work is distributed under the Creative Commons Attribution 4.0 License.
- Language
- eng
- Full Text
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