ARES | Autonomous robotics for the extended ship

Ares

The ARES Research and Development project,funded by MIUR under the PON Research and Innovation Program 2014 and 2020 - PNR 2015-2020 - "Blue Growth" Specialization Area and coordinated by the National Research Council in collaboration with other industrial and research partners, intends to develop a new paradigm in the field of marine technologies: a complex system, the ship with all its subsystems (control, measure, etc.), integrated with new marine robotic technologies (i.e. a cooperative system of underwater and surface drones), to extend its flexibility of use and mission and to make it operational in several areas including emergency interventions for environmental disasters, support for the Defense system, installation and maintenance of facilities for energy extraction from the sea, offshore platforms, etc.

The project aims to increase robotic research by fueling a substrate of SMEs capable of developing robotic vehicles, instrumentation and marine sensory, ICT systems, data analysis and management, control and remote supervision.

Geocart, in particular, is researching and developing an advanced methodology for the reconstruction of complex submarine environments and structures through the multimodal aggregation of data acquired by other project partners and from optical systems (underwater cameras) and sonar systems (Side-Scan, Single-Beam, Multi-Beam) for the generation of seabed DTM (Digital Terrain Model) maps, along with orientation data and position of the acquisition platforms.

Project Partners: National Research Council (Lead Partner), MAR.TE. S.C.A R.L., MAR.TE. S.c.a.r.l. , University of CALABRIA, Next Geosolutions Europe S.p.A, Seastema S.p.A, DIAMEC Technology S.r.l, Geocart S.p.A, University Consortium for Socio-economic Research and the Environment (CURSA), University of PALERMO, Apphia S.r.l, University of GENOA, University of ROME "La Sapienza", University of BOLOGNA.

Time Period: 2019 – 2022

SUGGESTUS | Digital intelligence platform for immersive use of Cultural Heritage

Suggestus

The SUGGESTUS, Research and Development Project, funded by MISE under "Large R&D Projects - PON Enterprise and Competitiveness ERDF 2014/2020", aims to integrate into one single architecture a number of systems that are able to improve the immersive experience of cultural heritage. The project, which is carried out in collaboration with other research and industrial partners, is to develop a digital intelligence platform capable of radically innovating the visiting experience and knowledge of the artistic and cultural heritage.

This is achieved by exploiting available content (analyzed and tailored to the user's preferences) and sensors present on site. The components have the ability to provide advanced content (such as VR and AR experiences) as well as localized, more importantly, to offer a personalized experience to the user based on preferences and behavior. This feature is based on a wide backend of various content types and the ability to connect and group these contents so that the user can receive them in a consistent and timely manner. Therefore, the aim of the project is to develop and test an infrastructure that will be set up and tested in one or more sites of interest in the convergence regions. The infrastructure will contain components related to guided use, advanced interaction via VR and AR, integration of active sensors for using and monitoring the site of interest.

Geocart is involved in research activities on the optimization of relevant techniques and procedures for the construction of 3D digital models of cultural assets intended for mobile application and consumer devices in subsequent experimentation of constructing process and using 3D digital models of cultural assets on case studies identified as part of a specific demonstrator.

The overall infrastructure will have an impact on the application sector of culture and tourism.

Project Partners: ETT S.p.a. (Lead Partner), System Management S.p.A., Connectivia S.r.l..

Project Consultants: CINI (National Interuniversity Consortium for Informatics), Distretto Databenc (High Technology District for Cultural Heritage), Consorzio Train (Consortium for the research and development of technologies for INnovative TRANSPORT), Digital Lighthouse S.r.l..

Time Period: 2020 – 2023

OT4CLIMA | Tecnologie innovative di OT per lo studio del Cambiamento cLimatico e dei suoi IMpatti su Ambiente e territorio

T4CLIMA

The overall objective of the OT4CLIMA project, funded by MIUR under the PON Research and Innovation Program 2014 and 2020 - PNR 2015-2020 - "Aerospace" Specialization Area, is to develop new measurement tools and new Earth Observation methodologies to provide products/applications/services aimed at improving mitigation capabilities of the effects of Climate Change (CC) at regional and sub-regional scale.

The project is based on the awareness that the environmental and territorial impacts of the ongoing CCs need to be better understood, modeled and observed, even at the local and regional scales in order to implement appropriate and effective mitigation strategies. It responds to some of the outstanding challenges identified by major international initiatives (e.g. CEOS WG Climate, GCOS) as Recommendations and Actions for the coming years, such as the use of new observation technologies, observation of additional climatic parameters as well as the development of new analysis techniques (cf. GCOS 2016 Implementation Plan).

OT4CLIMA, without claiming to address the problem as a whole, intends to contribute to specific phenomenological areas (water and carbon cycle), parameters, observables, and environmental matrices.

Specifically, both medium- and long-term impacts (e.g. vegetation stress, drought) and extreme events with rapid evolutionary dynamics (e.g. intense weather conditions, fires) will be investigated in an attempt to achieve dual technological, "product" and "process" innovation.

The project, for instance, will make concrete the possibility to measure, in an unprecedented manner and accuracy, both atmospheric parameters (e.g. Carbonyl sulfide (COS)) and surface parameters (e.g. soil water content) essential in determining the vegetation contribution to the CO2 balance, while proposing solutions based on analysis and integration of observation data acquired by satellite, airborne, and unmanned platforms to significantly improve the ability of local communities to address the effects of CCs in short- and long-term.

Particularly, within the framework of the realized objective of advanced EO methods for the study of short-term climatic impacts as well as quantitative characterization of fires, Geocart is working on research and development of methodologies that are as automated as possible and, based on application of lidar data, for the estimation of available pre-event biomasses. The study area is the Ionian coast of Lucania, where Geocart has a database of lidar and optical multi-temporal data acquired with airborne platforms.

The project team consists of a solid public-private partnership with a strong presence in the European and national research and innovation system in the Aerospace sector.

Project Partners: National Research Council (Lead Partner), CREATEC Scarl, SIIT S.c.p.a. Technological Integrated Intelligent Systems, University of TRENTO, Italian Space Agency, SURVEY LAB S.r.l., CO.RI.S.T.A. - Research COnsortium on Advanced Telesensor Systems, National Institute of Geophysics and Volcanology, University of CALABRIA, e-GEOS S.p.A., I.D.S. - SYSTEM ENGINEERING S.p.A., University of BASILICATA (UNIBAS), CIRA S.c.p.A. - Italian Aerospace Research Center.

Time Period: 2018 - 2021

OT4CLIMA

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