Dlodlo, Nkomozombango (2018) Integration of Trimble V10 Imaging Rover on terrestrial survey. [USQ Project]
Abstract
Trimble V10 Imaging Rover is an integrated camera system that captures 60 megapixel 360-degree digital panoramas. These are provided by 12 precisely calibrated sensors, integrated seamlessly with an R10 GNSS receiver. Each of the images have their own objection centres and this allows easy creation of panorama.
The aim of this project was to evaluate the usability and efficiency of the integration of the Trimble V10 imaging rover on common terrestrial surveys namely; volume estimations, topographic survey and asset mapping. Two suitable test sites were identified. Conventional surveys were done using a robotic total station on chosen sites. On the same sites another survey was done with the utilisation of the Trimble V10 imaging rover instrument.
Processing of the Trimble V10 imaging rover data was done using Trimble Business Centre software. This reduction process took larger than expected processing time and resulted in generation of millions of 3D points. The bulk of these automatically generated points were of non-essential features for this project. The extra points had to be weeded out using overlay boundary from the total station survey.
The results indicated that the utilisation of the Trimble V10 imaging rover provides a complete visualisation of surveyed features. While there seem to be some significant issues on modelling of ground points using Trimble Business Centre, the reduced panorama does provide an alternative means of extracting valid measurements from captured images.
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| Item Type: | USQ Project |
|---|---|
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Zhang, Zhenyu |
| Qualification: | Bachelor of Spatial Science (Honours) (Surveying) |
| Date Deposited: | 08 Sep 2021 05:24 |
| Last Modified: | 29 Jun 2023 01:28 |
| URI: | https://sear.unisq.edu.au/id/eprint/40641 |
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