Sargeant, B;
Robson, S;
Szigeti, E;
Richardson, P;
El-Nounu, A;
Rafla, M;
(2016)
A method to achieve large volume, high accuracy photogrammetric measurements through the use of an actively deformable sensor mounting platform.
In:
Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B5, 2016 XXIII ISPRS Congress.
(pp. pp. 123-129).
International Society for Photogrammetry and Remote Sensing: Prague, Czech Republic.
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Abstract
When using any optical measurement system one important factor to consider is the placement of the sensors in relation to the work piece being measured. When making decisions on sensor placement compromises are necessary in selecting the best placement based on the shape and size of the object of interest and the desired resolution and accuracy. One such compromise is in the distance the sensors are placed from the measurement surface, where a smaller distance gives a higher spatial resolution and local accuracy and a greater distance reduces the number of measurements necessary to cover a large area reducing the build-up of errors between measurements and increasing global accuracy. This paper proposes a photogrammetric approach whereby a number of sensors on a continuously flexible mobile platform are used to obtain local measurements while the position of the sensors is determined by a 6DoF tracking solution and the results combined to give a single set of measurement data within a continuous global coordinate system. The ability of this approach to achieve both high accuracy measurement and give results over a large volume is then tested and areas of weakness to be improved upon are identified
Type: | Proceedings paper |
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Title: | A method to achieve large volume, high accuracy photogrammetric measurements through the use of an actively deformable sensor mounting platform |
Event: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B5, 2016 XXIII ISPRS Congress |
Location: | Prague, Czech Republic |
Dates: | 12 July 2016 - 19 September 2016 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.5194/isprsarchives-XLI-B5-123-2016 |
Publisher version: | http://dx.doi.org/10.5194/isprsarchives-XLI-B5-123... |
Language: | English |
Additional information: | Copyright © ISPRS. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Photogrammetry, Digital Image Correlation,, Robotics, 6DoF tracking |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/1505771 |




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