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Preliminary tests of a new low-cost photogrammetric system

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conference contribution
posted on 2025-05-11, 14:02 authored by M. Santise, Klaus ThoeniKlaus Thoeni, R. Roncella, S. W. Sloan, Anna GiacominiAnna Giacomini
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.

Funding

ARC

LP160100370

History

Source title

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]

Name of conference

5th International Workshop LowCost 3D - Sensors, Algorithms, Applications

Location

Hamburg, Germany

Start date

2017-11-28

End date

2017-11-29

Pagination

229-236

Editors

Kersten, T. P. & Remondino, F.

Publisher

International Society for Photogrammetry and Remote Sensing

Place published

Lemmer, Netherlands

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Engineering

Rights statement

© Author(s) 2017. This work is distributed under the Creative Commons Attribution 4.0 License.

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