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Poster

Solving aircraft conflicts: data resources.

Abstract : The ICCAS 2020 conference aims to promote the dissemination and exchange of scientific information on the next generation of civil and military aircraft. It provides an excellent forum for combining academic research and industrial works to examine how we can develop intelligent aeronautical systems owning more freedom of choice, sensitivity to the context, learning capabilities, and able to interact naturally with the crew while saving its mental and physical resources. Recent trends in this field address several major aspects such as the online monitoring of the flight performances based on behavioral, physiological, and neurological measurements, the design of more ecological man-machine interfaces providing intuitive information about the flight to support decision process, and architecture rules that guarantee a high level of flight safety. The conference addresses a wide spectrum of theoretical and practical topics related to neuroergonomics and human factors, artificial intelligence or systems engineering. It is mainly focused on aeronautics but contributions from a wide range of domains such as automotive, robots, drones, or artificial agents are welcome.
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https://hal.archives-ouvertes.fr/hal-03617761
Contributeur : Md Siddiqur Rahman Connectez-vous pour contacter le contributeur
Soumis le : mercredi 23 mars 2022 - 16:44:21
Dernière modification le : jeudi 31 mars 2022 - 16:22:58

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Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Pas de modification 4.0 International License

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Laurent Lapasset, Md Siddiqur Rahman, Josiane Mothe. Solving aircraft conflicts: data resources.. 1st International Conference on Cognitive Aircraft Systems (ICCAS 2020), Mar 2020, Toulouse, France. ⟨10.34849/cfsb-t270⟩. ⟨hal-03617761⟩

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