UAV PHOTOGRAMMETRIC SOLUTION USING A RASPBERRY PI CAMERA MODULE AND SMART DEVICES: TEST AND RESULTS
Nowadays, smart technologies are an important part of our action and life, both in indoor and outdoor environment. There are several smart devices very friendly to be setting, where they can be integrated and embedded with other sensors, having a very low cost. <br><br> Raspberry all...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/289/2017/isprs-archives-XLII-2-W6-289-2017.pdf |
Summary: | Nowadays, smart technologies are an important part of our action and life, both in indoor and outdoor environment. There are
several smart devices very friendly to be setting, where they can be integrated and embedded with other sensors, having a very low
cost.
<br><br>
Raspberry allows to install an internal camera called Raspberry Pi Camera Module, both in RGB band and NIR band. The advantage
of this system is the limited cost (< 60 euro), their light weight and their simplicity to be used and embedded.
<br><br>
This paper will describe a research where a Raspberry Pi with the Camera Module was installed onto a UAV hexacopter based on
arducopter system, with purpose to collect pictures for photogrammetry issue. Firstly, the system was tested with aim to verify the
performance of RPi camera in terms of frame per second/resolution and the power requirement. Moreover, a GNSS receiver Ublox
M8T was installed and connected to the Raspberry platform in order to collect real time position and the raw data, for data
processing and to define the time reference. IMU was also tested to see the impact of UAV rotors noise on different sensors like
accelerometer, Gyroscope and Magnetometer.
<br><br>
A comparison of the achieved results (accuracy) on some check points of the point clouds obtained by the camera will be reported as
well in order to analyse in deeper the main discrepancy on the generated point cloud and the potentiality of these proposed approach.
In this contribute, the assembling of the system is described, in particular the dataset acquired and the results carried out will be
analysed. |
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ISSN: | 1682-1750 2194-9034 |