Perception for UAV: Vision-Based Navigation and Environment Modeling


M. Sanfourche, J. Delaune, G. Le Besnerais, H. de Plinval, J. Israel, Ph. Cornic,
A. Treil, Y. Watanabe, A. Plyer

Nowadays, cameras and other exteroceptive sensors are on board of a large variety of automatic platforms, such as Unmanned Aerial Vehicles (UAV), space exploration probes and missiles. However, apart from this latter application, they are mostly used as payload and not to pilot the vehicle itself. In this paper, we focus on the use of computer vision for UAV perception to navigate through the environment and model it. This function is typically needed at low altitude in unknown or GPS-denied conditions.

An Overview of Probabilistic Performance Analysis Methods for Large Scale and Time-Dependent Systems


J. Morio, H. Piet-Lahanier, F. Poirion, J. Marzat, C. Seren, S. Bertrand, Q. Brucy, R. Kervarc, S. Merit, P. Ducourtieux, R. Pastel

Various algorithms have been proposed to evaluate the performance of large scale and time-dependent systems. Probabilistic approaches based on computer experiments have been shown to be more efficient than classical approaches such as Monte-Carlo simulations for a various number of practical cases. This article thus gives an overview of the latest trends in the field, applied to the performance evaluation of large scale or time-dependent system. Different realistic applications in the aerospace domain are considered.

An Overview of Relevant Issues for Aircraft Model Identification


A. Bucharles, C. Cumer, G. Hardier, B. Jacquier, A. Janot, T. Le Moing, C. Seren, C. Toussaint, P. Vacher

A number of activities in aeronautical engineering rely on the availability
of models to represent the real behavior of the aircraft. Let us quote, for


Video 1 - Optimization of input signals for an A340/300

Video 2 - Experiments in a hydrodynamic tank

Video 3 - Optimization of wing motion

Video 4 - PSO-based kernel positioning

Video 5 - Modeling through LLM

Video 6 - The flutter phenomenon

Dynamical Medium (Large)- Scale Model Reduction and Interpolation with Application to Aircraft Systems


C. Poussot-Vassal, F. Demourant

Although the need for even more accurate system, phenomena and process
modeling is required in order to reduce development time and costs, the
number of variables linear and non-linear optimization tools can handle is still
a practical and theoretical limiting factor. This is especially true in aircraft


Mastering Complexity: an Overview


Claude Barrouil

Aerospace systems are certainly part of those of which the complexity
has been dramatically and continuously increasing for several decades.
Not only are the vehicles increasingly more sophisticated but, since they are
interacting increasingly with other so-called “intelligent” systems, human or
machines, the overall system is even more complex.
Here, the word “complexity” is used in the common sense: it just means
“too big to fit in the head of a human being”. We undertake projects that