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Titel Inertial and GPS data integration for positioning and tracking of GPR
VerfasserIn Simone Chicarella, Alessandro D'Alvano, Vincenzo Ferrara, Fabrizio Frezza, Lara Pajewski
Konferenz EGU General Assembly 2015
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 17 (2015)
Datensatznummer 250114939
Publikation (Nr.) Volltext-Dokument vorhandenEGU/EGU2015-15776.pdf
 
Zusammenfassung
Nowadays many applications and studies use a Global Positioning System (GPS) to integrate Ground-Penetrating Radar (GPR) data [1-2]. The aim is the production of detailed detection maps that are geo-referenced and superimposable on geographic maps themes. GPS provides data to determine static positioning, and to track the mobile detection system path on the land. A low-cost standard GPS, like GPS-622R by RF Solutions Ltd, allows accuracy around 2.5 m CEP (Circular Error Probability), and a maximum update rate of 10 Hz. These accuracy and update rate are satisfying values when we evaluate positioning datum, but they are unsuitable for precision tracking of a speedy-mobile GPR system. In order to determine the relative displacements with respect to an initial position on the territory, an Inertial Measurement Unit (IMU) can be used. Some inertial-system applications for GPR tracking have been presented in recent studies [3-4]. The integration of both GPS and IMU systems is the aim of our work, in order to increase GPR applicability, e.g. the case of a GPR mounted on an unmanned aerial vehicle for the detection of people buried under avalanches [5]. In this work, we will present the design, realization and experimental characterization of our electronic board that includes GPS-622R and AltIMU-10 v3 by Pololu. The latter comprises an inertial-measurement unit and an altimeter. In particular, the IMU adopts L3GD20 gyro and LSM303D accelerometer and magnetometer; the digital barometer LPS331AP provides data for altitude evaluation. The prototype of our system for GPR positioning and tracking is based on an Arduino microcontroller board. Acknowledgement This work benefited from networking activities carried out within the EU funded COST Action TU1208 “Civil Engineering Applications of Ground Penetrating Radar. ” References [1] M. Solla, X. Núñez-Nieto, M. Varela-González, J. Martínez-Sánchez, and P. Arias, “GPR for Road Inspection: georeferencing and efficient approach to data processing and visualization,” Proceedings of 15th IEEE International Conference on Ground Penetrating Radar - GPR 2014, Brussels, Belgium, June 30 – July 4, 2014, pp. 913-918. [2] S. Urbini, L. Vittuari, and S. Gandolfi, “GPR and GPS data integration: examples of application in Antarctica,” Annali di Geofisica, Vol. 44, No. 4, August 2001, pp. 687-702. [3] V. Prokhorenko, V. Ivashchuk, S. Korsun, and O. Dykovska, “An Inertial Measurement Unit Application for a GPR Tracking and Positioning,” Proceedings of the 12th International Conference on Ground Penetrating Radar, June 15-19, 2008, Birmingham, UK, pp. 19-24. [4] M. Pasternak, W. Miluski, W. Czarnecki, and J. Pietrasinski, “An optoelectronic-inertial system for handheld GPR positioning,” Proceedings of the 15th IEEE International Radar Symposium (IRS), Gdansk, Poland, June 16-18, 2014, pp. 1-4. [5] L. Crocco and V. Ferrara, “A Review on Ground Penetrating Radar Technology for the Detection of Buried or Trapped Victims,” Proceedings of the IEEE 2nd International Workshop on Collaborations in Emergency Response and Disaster Management (ERDM 2014) as part of 2014 International Conference on Collaboration Technologies and Systems (CTS 2014) – Minneapolis (Minnesota, USA), May 19-23, 2014, pp. 535-540.