Project description
Boosting EU border security and surveillance
For the EU, border security and surveillance is of main interest. The EU-funded ARESIBO project aims to improve border surveillance systems by providing the operational teams and the tactical command and control level with accurate and comprehensive information. The ARESIBO system will be developed in stages during the course of 3 years. Two major versions will lead to sub-versions for land and maritime borders. The system will be tested and assessed in a controlled environment enabling testing at any time without pre-requisite authorisations. It will also be tested in live conditions in Finland, Greece, Romania and Portugal.
Objective
ARESIBO aims at improving the efficiency of the border surveillance systems by providing the operational teams and the tactical command and control level with an accurate and comprehensive information. The pillars of research in ARESIBO are three-fold: 1. Set-up a complete configuration at tactical and execution level to optimise the collaboration between human and sensors (fixed and mobile), 2. Improve situation awareness by enhancing the understanding of the situation through adapted processing of sensor data, correlation between heterogeneous data and information and creation of knowledge through deep learning techniques and 3. Create a situation awareness capability at C2 level that will combine reports on previous missions, real time situation understanding and threat analysis for future actions. This capability will be used to optimise the operations (teams deployment and sensor positioning) as well as an online briefing tool for the teams that will be able to access to the results of the previous missions while in the field. ARESIBO integrates research activities in the domain of 1. surveillance platforms (air, ground, surface, underwater) to optimise the collaborative capabilities of the platforms and their positioning (between themselves and with the teams), 2. Sensor processing to interpret, fuse and correlate all the data to produce information and knowledge and 3. Augmented reality techniques to elaborate and provide to the operators a situation awareness picture which is fit for their missions (minimum information for maximal understanding) both as team level and tactical C2 level. The ARESIBO system will be developed incrementally during the 3 years with two major versions that will lead to sub-versions for land and maritime borders. The system will be tested and assessed in 1. a controlled environment enabling testing at any time without pre-requisite authorisations and 2. in real conditions in Finland, Greece, Romania and Portugal for the 2 versions.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
31402 Toulouse Cedex
France
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Participants (19)
10561 Athina
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80686 Munchen
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00141 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
73033 Goeppingen
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57001 Thermi Thessaloniki
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2500-750 Caldas Da Rainha
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46980 Paterna
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15500 Holargos, Athens
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02150 Espoo
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1574 Sofia
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4450 718 Matosinhos Porto
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00131 Helsinki
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1400-204 Lisboa
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1015 Lausanne
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1110 Bruxelles / Brussel
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1066 ECHANDENS
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34170 Gorizia
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060117 Bucuresti
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73200 Soyda
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.