Issue 15 , September 2020

Artificial Intelligence and Decision Making


Artificial Intelligence (AI) is a field of computer science which, through its ability to efficiently process data, to build decisions and to automate some processes, is likely to play a major societal and economic role. The fields of Aeronautics, Space and Defense (ASD) are no exception to this trend.
This issue of Aerospace Lab journal contains contributions relating to two traditional approaches to AI - formal and empirical - and features articles on representation and use of knowledge, information extraction from data streams, path planning, activity planning,  consensus seeking, multi-agent architecture  for perception, certification of on-board vision systems, use of learning to process large volumes of experimental data and finally use of deep learning for Earth observation.


Download the complete issue or the contents

Stéphane Herbin, Jean-Loup Farges (ONERA)

V. Dragos (ONERA), S. Gatepaille (Airbus Defence & Space)

R. Kervarc (ONERA), A. Piel (CEA LIST, Executable Language Engineering and Optimisation Laboratory R&D Department)

A. El Fallah Seghrouchni (Sorbonne Université), L. Grivault (Thales Defense Mission Systems)

F. Teichteil-Koenigsbuch,  G. Poveda (Airbus AI Research)

C. Pralet, S. Roussel (ONERA), J. Jaubert (CNES), J. Queyrel (ONERA)

F. Boniol, A. Chan-Hon-Tong, A. Eudes, S. Herbin, G. Le Besnerais, C. Pagetti, M. Sanfourche (ONERA)

M. Nugue, J.-M. Roche, G. Le Besnerais, C. Trottier, R. W. Devillers (ONERA), J. Pichillou (CNES), A. Chan-Hon-Tong, A. Boulch, A. Hurmane (ONERA)

E. Colin Koeniguer, G. Le Besnerais, A. Chan Hon Tong, B. Le Saux, A. Boulch, P. Trouvé, R. Caye Daudt, N. Audebert, G. Brigot, P. Godet, B. Le Teurnier, M. Carvalho, J. Castillo-Navarro (ONERA)

T. Mylvaganam (Department of Aeronautics, Imperial College London, UK), H. Piet-Lahanier (ONERA)