UAV PHOTOGRAMMETRIC SOLUTION USING A RASPBERRY PI CAMERA MODULE AND SMART DEVICES: TEST AND RESULTS

Tipo di pubblicazione: Articolo su rivista
Tipologia MIUR: Contributo su Rivista > Articolo in rivista
Titolo: UAV PHOTOGRAMMETRIC SOLUTION USING A RASPBERRY PI CAMERA MODULE AND SMART DEVICES: TEST AND RESULTS
Autori: Piras, Marco; Grasso, Nives; Abdul Jabbar, Ansar
Autori di ateneo:
Titolo del periodico: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES
Tipo di referee: Esperti anonimi
Editore: Copernicus Publisher
Volume: XLII-2-W6
Intervallo pagine: pp. 289-296
Numero di pagine: 8
ISSN: 2194-9034
Abstract: 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. 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. 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. A comparison of the achieved results (accuracy) on some control 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.
Data: 2017
Status: Pubblicato
Lingua della pubblicazione: Inglese
Parole chiave: uav photogrammetry, camera self-calibration, python, raspberry pi, mass-market, imu
Dipartimenti (originale): DIATI - Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture
Dipartimenti: DIATI - Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture
URL correlate:
Area disciplinare: Area 08 - Ingegneria civile e Architettura > TOPOGRAFIA E CARTOGRAFIA
Data di deposito: 07 Set 2017 11:47
Data ultima modifica (IRIS): 07 Set 2017 12:13:13
Data inserimento (PORTO): 09 Set 2017 02:03
Numero Identificativo (DOI): 10.5194/isprs-archives-XLII-2-W6-289-2017
Permalink: http://porto.polito.it/id/eprint/2679327
Link resolver URL: Link resolver link

Allegati

[img] PDF (UAVG_RPI_final.pdf) - Preprint
Accesso al documento: Non visibile (Controllo copyright in corso)
Licenza: Creative Commons - Attribuzione - Non commerciale - Non opere derivate 3.0 Italia.

Download (2385Kb (2442968 bytes)) | Spedisci una richiesta all'autore per una copia del documento

Azioni (richiesto il login)

Visualizza il documento (riservato amministratori) Visualizza il documento (riservato amministratori)