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CORDIS - Resultados de investigaciones de la UE
CORDIS

HUMAN AIRCRAFT ROADMAP FOR VIRTUAL INTELLIGENT SYSTEM

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Pilot Training consideration for the implementation of a digital assistant (se abrirá en una nueva ventana)

This deliverable will focus on how pilots should be trained in such a context to make the solution robust and effective

Human-Machine Interface and Envelope (se abrirá en una nueva ventana)

This deliverable will present the task analysis of large commercial aircraft by focusing on the pilot interaction with the systems and the nature of information delivered in each step of the activities

Technologies Roadmap (se abrirá en una nueva ventana)

D43 will present the roadmap of technologies for the next generation digital assistantWork package number

Analysis of Potential Cognitive Computing Aided Tasks (se abrirá en una nueva ventana)

Cockpit operations of large commercial aircraft such as the A350, A380 or A320, or similar, will be analysed along 2 directions: the pilot [“man in the loop”] interaction with the systems and the nature of information delivered. The analysis should allow for identifying specific in-flight conditions, related pilot behaviour, and how data is interpreted, and how and when collaborative / assisted decisions are made. This task will also devise initial case studies deemed relevant to extrapolate the potential of cognitive computing and to demonstrate how they will offer a significant aid to the pilot. The knowledge gained will help developing the initial concept for a digital assistant function supporting full or reduced flight crews.

Validation Plan (se abrirá en una nueva ventana)

This deliverable will include the validation objectives and the workplan for the validation exercises Detailed scenarios metrics and schedule will be generated

State of the Art of cognitive computing algorithms (se abrirá en una nueva ventana)

This deliverable will present a state of the art of cognitive computing applied in cockpit, healthcare and other relevant fields for the project. The state of the art will collect the most relevant papers and projects related to machine learning and artificial intelligence algorithms and the application of these alrogithms. This state of the art will set the basis for the project in order to explore the use cases and produce the roadmap that will be included in later deliverables.

Analysis Report (se abrirá en una nueva ventana)

This deliverable will include the multicriteria analysis performed on the basis of the simulations

Second Demonstrator (se abrirá en una nueva ventana)

This deliverable will present the design of the use case and the result of the study Additional documentation describing the prototype its functionalities the algorithms used and the results of the preliminary tests will be also delivered

First Demonstrator (se abrirá en una nueva ventana)

D31 will present the design of the use case and the result of the study Additional documentation describing the prototype its functionalities the algorithms used and the results of the preliminary tests will be also delivered

Publicaciones

HARVIS Project AI Assistant for SPO - LPA P3 (se abrirá en una nueva ventana)

Autores: Duchevet, Alexandre; Bejarano Espada, Carmen; Imbert, Jean-Paul; Rodríguez Vázquez, Antonio Leopoldo; Colomer Granero, Adrián; Cantero Ramis, Jesús; Ferreira, Ana; Moens, Laura
Publicado en: 2021
Editor: Zenodo
DOI: 10.5281/zenodo.6413977

Aircraft Dynamic Rerouting Support (se abrirá en una nueva ventana)

Autores: NÚÑEZ SÁNCHEZ, Javier; LEOPOLDO RODRÍGUEZ VÁZQUEZ, Antonio; MOGOLLÓN GARCÍA, Juan Manuel; GRANGER, Géraud; IMBERT, Jean-Paul; DUCHEVET, Alexandre; BONELLI, Stefano; NARANJO ORNEDO , Valery; COLOMER GRANERO, Adrián
Publicado en: 2020
Editor: 1st International Conference on Cognitive Aircraft Systems – ICCAS
DOI: 10.5281/zenodo.6414460

Cognitive assistant in the cockpit (se abrirá en una nueva ventana)

Autores: Rodríguez Vázquez, Antonio Leopoldo; Bonelli, Stefano; Duchevet, Alexandre; Imbert, Jean-Paul; Colomer Granero, Adrián; Cantero, Jesús; Bejarano Espada, Carmen; Ferreira, Ana
Publicado en: 2020
Editor: Zenodo
DOI: 10.5281/zenodo.6413853

HARVIS Project AI Assistant for SPO (se abrirá en una nueva ventana)

Autores: Duchevet, Alexandre; Bejarano Espada, Carmen; Rodríguez Vázquez, Antonio Leopoldo; Imbert, Jean-Paul; Ferreira, Ana; Moens, Laura; Colomer Granero, Adrián; Colomer Granero, Adrián
Publicado en: 2021
Editor: Zenodo
DOI: 10.5281/zenodo.6413887

Toward a Non Stabilized Approach assistant based on human expertise (se abrirá en una nueva ventana)

Autores: DUCHEVET, Alexandre; GRANGER, Géraud; IMBERT, Jean-Paul; DE LA HOGUE, Théo; LEOPOLDO RODRÍGUEZ VÁZQUEZ, Antonio; NÚÑEZ SÁNCHEZ, Javier; MOGOLLÓN GARCÍA, Juan Manuel; BONELLI, Stefano; FERREIRA, Ana; NARANJO ORNEDO , Valery; COLOMER GRANERO, Adrián; JIMENEZ CAMPFENS, Néstor
Publicado en: 2020
Editor: 1st International Conference on Cognitive Aircraft Systems – ICCAS
DOI: 10.5281/zenodo.6414367

HARVIS: dynamic rerouting assistant using deep learning techniques for Single Pilot Operations (SPO) (se abrirá en una nueva ventana)

Autores: C. Bejarano, A. L. Rodríguez Vázquez, A. Colomer, J. Cantero, A. Ferreira, L. Moens, A. Duchevet, J-P. Imbert, T. De La Hogue
Publicado en: Transportation Research Procedia, Volume 66, 2022, Página(s) Pages 262-269
Editor: Elsevier
DOI: 10.1016/j.trpro.2022.12.026

Presentation of HARVIS Project (se abrirá en una nueva ventana)

Autores: LEOPOLDO RODRÍGUEZ VÁZQUEZ, Antonio; NÚÑEZ SÁNCHEZ, Javier; DUCHEVET, Alexandre; IMBERT, Jean-Paul; BONELLI, Stefano; FERREIRA, Ana; NARANJO ORNEDO , Valery; COLOMER GRANERO, Adrián
Publicado en: 2020
Editor: N/A
DOI: 10.5281/zenodo.6416565

Presentation of HARVIS Project (se abrirá en una nueva ventana)

Autores: Rodríguez Vázquez, Antonio Leopoldo; Imbert, Jean-Paul; Naranjo Ornedo, Valery; Bonelli, Stefano
Publicado en: 2019
Editor: N/A
DOI: 10.5281/zenodo.6416556

Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports (se abrirá en una nueva ventana)

Autores: Néstor Jiménez-Campfens, Adrián Colomer, Javier Núñez, Juan M. Mogollón, Antonio L. Rodríguez, Valery Naranjo
Publicado en: Intelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II, Edición 12490, 2020, Página(s) 148-155, ISBN 978-3-030-62364-7
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-62365-4_14

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