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.

CONTENTS

Download the complete issue or the contents

  • Français
Artificial Intelligence and Decision Making

Stéphane Herbin, Jean-Loup Farges (ONERA)

Semantic Mediation for Dynamic Fusion of Human Observations and Sensor Data

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

A Survey on Chronicles and other Behavior Detection Techniques

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

Multi-Agent Paradigm to Design the Next Generation of Airborne Platforms

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

Collaborative Common Path Planning in Large Graphs

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

Planning for Space Telescopes: Survey, Case Studies, and Lessons Learned

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

Challenges in the Certification of Computer Vision-Based Systems for Civil Aeronautics

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

Scaling Up Information Extraction from Scientific Data with Deep Learning

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)

Recent Examples of Deep Learning Contributions for Earth Observation Issues

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)

Robust consensus-seeking via a multi-player nonzero-sum differential game

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