Innovating Works

H2020

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HORIZON-SESAR-2022-DES-ER-01-W...
ATM application-oriented Research for Artificial Intelligence (AI) for aviation
ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.
Sólo fondo perdido 0 €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 13-10-2022.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.

Environment. Project results are expected to demonstrate the positive impact of AI-based solutions on operational mitigation of aviation’s environmental impact.Capacity. Project results are expected to contribute to capacity by addressing AI-based human operator support tools to ensure the integration of new entrant aircraft types.Operational efficiency. Project results are expected to improve the operational efficiency by enabling better traffic predictions and forecasts, thus contributing to punctuality.Safety. Project results are expected to maintain at least the same level of safety as the current ATM system.Security. Project results are expected to maintain at least the same level of security as the current ATM system.
Scope:The SESAR 3 JU has identified the following innovative research elements that could be used to achieve the expected outcomes. The list is not intended to be prescriptive; proposals for work on areas other than those listed below are welcome, provided they include adequate background and justification to ensure clear traceability with the R&... ver más

ExpectedOutcome:Project results are expected to contribute to the following expected outcomes.

Environment. Project results are expected to demonstrate the positive impact of AI-based solutions on operational mitigation of aviation’s environmental impact.Capacity. Project results are expected to contribute to capacity by addressing AI-based human operator support tools to ensure the integration of new entrant aircraft types.Operational efficiency. Project results are expected to improve the operational efficiency by enabling better traffic predictions and forecasts, thus contributing to punctuality.Safety. Project results are expected to maintain at least the same level of safety as the current ATM system.Security. Project results are expected to maintain at least the same level of security as the current ATM system.
Scope:The SESAR 3 JU has identified the following innovative research elements that could be used to achieve the expected outcomes. The list is not intended to be prescriptive; proposals for work on areas other than those listed below are welcome, provided they include adequate background and justification to ensure clear traceability with the R&I needs set out in the SRIA for the AI for aviation flagship.

Aviation/ATM AI infrastructure. AI is largely dependent on data, which is required to develop AI algorithms and to validate them. Thus, the challenge is to develop an appropriate aviation/ATM AI infrastructure and/or exploit existing ones that can capture the current and future information required to support AI-enabled applications, with the required software development processes, using robust architectures for ATC systems to provide ATCOs and pilots with a good level of confidence in automated decision-aiding tools. This includes capability development, trustworthiness, safety and airworthiness. Furthermore, there is a need to foster access to and sharing of data while looking at aspects related to data quality, data integrity, data ownership, data security, the trust framework and data governance. This element also includes the creation of an exploitation plan detailing future steps after the end of the project (R&I need: trustworthy AI powered ATM environment).AI-powered human–machine interactions. Moving beyond the state of the art, this element covers research on how human–machine interactions can be boosted to the highest level of automation, including through branches of AI such as reinforcement learning, explainable AI and natural language processing. The research results should demonstrate how the technology can support ATCOs in carrying out their tasks, not redefine the role of the human (e.g. demonstrate an increase in human capabilities during the execution of complex scenarios or a reduction in human workload in the execution of standard tasks (R&I need: human–AI collaboration: digital assistants).AI-powered co-piloting. Similarly to the research described in the previous bullet point, this element aims to investigate how AI can support pilots and reduce their workload. Research should focus, for example, on how to exploit high levels of automation to perform non-critical tasks and how the HMI should work during such operations (R&I need: human–AI collaboration: digital assistants).AI for complex operations. This research is about the development of AI-based human operator support tools to ensure the safe integration of new entrant aircraft types into an increasingly busy, heterogeneous and complex traffic mix (i.e. UAVs, supersonic aircraft, hybrid and fully electric aircraft) This should also cover the wider implications for other organisations and the impact on the network (R&I need: human–AI collaboration: digital assistants).Sustainable trajectory. This element will involve developing AI-based solutions for operational mitigation of aviation’s environmental impact, such as near-real-time network optimisation (airspace/route availability) and use (on-the-fly flight planning), in conjunction with meteorological data now-casting, which could be made possible through AI (R&I need: AI Improved datasets for better airborne operations).
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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:
Empresas Micro, Pequeña, Mediana, Grande
Centros Tecnológicos
Universidades
Organismos públicos

Características del Proyecto

Requisitos de diseño: Duración: Requisitos técnicos: ExpectedOutcome:Project results are expected to contribute to the following expected outcomes. ¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 4:. Es el primer paso para determinar si los componentes individuales funcionarán juntos como un sistema en un entorno de laboratorio. Es un sistema de baja fidelidad para demostrar la funcionalidad básica y se definen las predicciones de rendimiento asociadas en relación con el entorno operativo final. leer más.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
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The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Condiciones: No existe condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
No conocemos el presupuesto total de la línea pero en los últimos 6 meses la línea ha concecido
Total concedido en los últimos 6 meses.
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.