LBS Augmented Reality Assistive Systems for utilities infrastructure management through Galileo and EGNOS

LBS Augmented Reality Assistive Systems for utilities infrastructure management through Galileo and EGNOS
Efstratios Stylianidis, Elena Valari, Kostas Smagas, Alain Pagani, Jose Henriques, Alejandro Garcia, Elisa Jimeno, Ivan Carillo, Petros Patias, Charalampos Georgiadis, Anastasis Kounoudes, Konstantinos Michail
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS) (ISPRS-16)

Abstract:: There is a continuous and increasing demand for solutions, both software and hardware-based, that are able to productively handle underground utilities geospatial data. Innovative approaches that are based on the use of the European GNSS, Galileo and EGNOS, sensor technologies and LBS, are able to monitor, document and manage utility infrastructures’ data with an intuitive 3D augmented visualisation and navigation/positioning technology. A software and hardware-based system called LARA, currently under develop- ment through a H2020 co-funded project, aims at meeting that demand. The concept of LARA is to integrate the different innovative components of existing technologies in order to design and develop an integrated navigation/positioning and information system which coordinates GNSS, AR, 3D GIS and geodatabases on a mobile platform for monitoring, documenting and managing utility infrastruc- tures on-site. The LARA system will guide utility field workers to locate the working area by helping them see beneath the ground, rendering the complexity of the 3D models of the underground grid such as water, gas and electricity. The capacity and benefits of LARA are scheduled to be tested in two case studies located in Greece and the United Kingdom with various underground utilities. The paper aspires to present the first results from this initiative. The project leading to this application has received funding from the European GNSS Agency under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 641460.

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