Deliverables Documents, reports (7) Pilot Training consideration for the implementation of a digital assistant 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 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 D43 will present the roadmap of technologies for the next generation digital assistantWork package number Analysis of Potential Cognitive Computing Aided Tasks 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 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 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 This deliverable will include the multicriteria analysis performed on the basis of the simulations Demonstrators, pilots, prototypes (2) Second Demonstrator 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 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 Publications Other (1) HARVIS Project AI Assistant for SPO - LPA P3 Author(s): Duchevet, Alexandre; Bejarano Espada, Carmen; Imbert, Jean-Paul; Rodríguez Vázquez, Antonio Leopoldo; Colomer Granero, Adrián; Cantero Ramis, Jesús; Ferreira, Ana; Moens, Laura Published in: 2021 Publisher: Zenodo DOI: 10.5281/zenodo.6413977 Conference proceedings (7) Aircraft Dynamic Rerouting Support Author(s): 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 Published in: 2020 Publisher: 1st International Conference on Cognitive Aircraft Systems – ICCAS DOI: 10.5281/zenodo.6414460 Cognitive assistant in the cockpit Author(s): Rodríguez Vázquez, Antonio Leopoldo; Bonelli, Stefano; Duchevet, Alexandre; Imbert, Jean-Paul; Colomer Granero, Adrián; Cantero, Jesús; Bejarano Espada, Carmen; Ferreira, Ana Published in: 2020 Publisher: Zenodo DOI: 10.5281/zenodo.6413853 HARVIS Project AI Assistant for SPO Author(s): Duchevet, Alexandre; Bejarano Espada, Carmen; Rodríguez Vázquez, Antonio Leopoldo; Imbert, Jean-Paul; Ferreira, Ana; Moens, Laura; Colomer Granero, Adrián; Colomer Granero, Adrián Published in: 2021 Publisher: Zenodo DOI: 10.5281/zenodo.6413887 Toward a Non Stabilized Approach assistant based on human expertise Author(s): 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 Published in: 2020 Publisher: 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) Author(s): C. Bejarano, A. L. Rodríguez Vázquez, A. Colomer, J. Cantero, A. Ferreira, L. Moens, A. Duchevet, J-P. Imbert, T. De La Hogue Published in: Transportation Research Procedia, Volume 66, 2022, Page(s) Pages 262-269 Publisher: Elsevier DOI: 10.1016/j.trpro.2022.12.026 Presentation of HARVIS Project Author(s): LEOPOLDO RODRÍGUEZ VÁZQUEZ, Antonio; NÚÑEZ SÁNCHEZ, Javier; DUCHEVET, Alexandre; IMBERT, Jean-Paul; BONELLI, Stefano; FERREIRA, Ana; NARANJO ORNEDO , Valery; COLOMER GRANERO, Adrián Published in: 2020 Publisher: N/A DOI: 10.5281/zenodo.6416565 Presentation of HARVIS Project Author(s): Rodríguez Vázquez, Antonio Leopoldo; Imbert, Jean-Paul; Naranjo Ornedo, Valery; Bonelli, Stefano Published in: 2019 Publisher: N/A DOI: 10.5281/zenodo.6416556 Book chapters (1) Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports Author(s): Néstor Jiménez-Campfens, Adrián Colomer, Javier Núñez, Juan M. Mogollón, Antonio L. Rodríguez, Valery Naranjo Published in: Intelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II, Issue 12490, 2020, Page(s) 148-155, ISBN 978-3-030-62364-7 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-62365-4_14 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
