Project description
Elevating aviation safety with AI innovation
As automation and Artificial Intelligence (AI) rapidly spread across industries, the aviation sector is no exception in their impact. From aircraft to air traffic control and airports, it is important to consider this digitalisation wave. Integrating AI into aviation comes with its challenges. It necessitates innovative solutions to ensure safe and efficient operations. In this context, the EU-funded JARVIS project will develop and validate three AI-driven Digital Assistants solutions – Airborne, Air Traffic Control and Airport – addressing critical challenges in aviation’s transition towards automation while prioritising safety and operational and costs efficiencies. Specifically, this AI-powered innovation promises to boost automation in the flight deck. It will also transform control towers and increase automation in airports to boost intrusion detection.
Objective
The fast penetration of automation and Artificial Intelligence (AI) is boosting the adoption of autonomous systems across industries. Known as digitalisation, this trend is also rapidly changing aviation. Indeed, driven by the increasing complexity of the entire aviation ecosystem (aircraft, air traffic control – ATC, airports), digitalisation provides solutions in the form of Digital Assistants (DAs) that, by teaming with their human counterparts (pilots, ATC operators, airport operators), support the execution of tasks to ensure safe and profitable operations in complex scenarios. JARVIS Consortium – led by Collins Aerospace – aims at developing and validating three ATM solutions: an Airborne DA (AIR-DA, TRL4), an ATC-DA (TRL4), and an Airport DA (AP-DA, TRL6). The AIR-DA will increase the level of automation in the flight deck and thanks to AI-based actions will act as enabler towards reduced crew operations and single pilot operations. The adoption of the AIR-DA will allow pilots to deal with complex scenarios without compromising safety, security, while reducing the pilot workload. The ATC-DA will increase the level of automation in control towers, where environmental KPIs and the capacity management of airspace will benefit from the adoption of AI-based technologies. Finally, the AP-DA will increase the level of automation in airports, enhancing safety and security for intrusion detection scenarios. The adoption of AI-driven technologies in the aviation ecosystem represents an appealing concept but entails challenges. JARVIS will address key challenges common to the three different DAs: i) assured AI design, to deliver trustworthy, explainable, safe, and ethical decision-making algorithms; ii) Human AI Teaming, to deliver human-centric designs to maximise the teamwork between humans and autonomous systems; iii) big data and cloud infrastructures for the proper management of data moving from a centralised architecture to a more edge-to-cloud architectures.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- social sciencessociologyindustrial relationsautomation
- natural sciencesbiological sciencesecologyecosystems
Keywords
Programme(s)
- HORIZON.2.5 - Climate, Energy and Mobility Main Programme
Funding Scheme
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinator
T23 Cork
Ireland
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Participants (19)
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
31701 Blagnac
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
00185 ROMA
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00185 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00155 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
81043 Capua
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1059 CM Amsterdam
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28108 Alcobendas Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28108 Alcobendas
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28022 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28022 Madrid
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190 19 SPATA
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31402 Toulouse Cedex
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51147 Koln
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00138 Roma
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00195 Roma
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28042 Madrid
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31400 Toulouse
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1130 Bruxelles / Brussel
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190 45 Stockholm Arlanda
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