Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Augmented Virtuality for Coastal Management: An Holistic Use of In-Situ and Remote Sensing for Large Scale Definition of Coastal Dynamics

Version 1 : Received: 20 December 2017 / Approved: 21 December 2017 / Online: 21 December 2017 (16:00:25 CET)

How to cite: Bartolini, S.; Mecocci, A.; Pozzebon, A.; Zoppetti, C.; Bertoni, D.; Sarti, G.; Caiti, A.; Costanzi, R.; Catani, F.; Ciampalini, A.; Moretti, S. Augmented Virtuality for Coastal Management: An Holistic Use of In-Situ and Remote Sensing for Large Scale Definition of Coastal Dynamics. Preprints 2017, 2017120155. https://doi.org/10.20944/preprints201712.0155.v1 Bartolini, S.; Mecocci, A.; Pozzebon, A.; Zoppetti, C.; Bertoni, D.; Sarti, G.; Caiti, A.; Costanzi, R.; Catani, F.; Ciampalini, A.; Moretti, S. Augmented Virtuality for Coastal Management: An Holistic Use of In-Situ and Remote Sensing for Large Scale Definition of Coastal Dynamics. Preprints 2017, 2017120155. https://doi.org/10.20944/preprints201712.0155.v1

Abstract

In this paper the authors describe the architecture of a multidisciplinary data acquisition and visualization platform devoted to the management of coastal environments. The platform integrates heterogeneous data acquisition sub-systems that can be roughly divided in two main categories: remote sensing systems and in-situ sensing systems. Remote sensing solutions include aerial and underwater remote data acquisition while in-situ sensing solutions include the use of RFID tracers, Wireless Sensor Networks and imaging techniques. All the data collected by these subsystems are stored, integrated and fused on a single platform that is also in charge of data visualization. This last task is carried out according to the paradigm of Augmented Virtuality which foresees the augmentation of a virtually reconstructed environment with data collected in the real world. The described solution proposes a novel holistic approach where different disciplines concur, with different data acquisition techniques, to a large scale definition of coastal dynamics, in order to better describe and face the coastal erosion phenomenon. The overall framework has been conceived by the so-called Team COSTE, a joint research team between the Universities of Pisa, Siena and Florence.

Keywords

Coastal Monitoring, Remote Sensing, In-Situ Sensing, Augmented Virtuality, AUV, Drones, RFID, Wireless Sensor Networks, 3D imaging

Subject

Engineering, Electrical and Electronic Engineering

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