Mbda France

David Vigouroux

Alexandre Kotenkoff

Antoine Vivares

Olivier Hebert

Mathias Formoso

Stéphane Le Menec

Ronan Fruit

Arnaud Durantin

Christophpe Perel

Charlotte Touchard

Christophe Perel

A prediction device includes a data input assembly, a modelling unit, a resolution unit, an interpretation unit, and an information transmission unit. The data input assembly is configured to enter attacker data relating to attack models, and defender data relating to ground a zone to be defended and to available defense means. The modelling unit is configured to generate a game tree evaluated on the basis of input data, based on game theory. The resolution unit is configured to define a game balance based on game theory, the game balance defining an attacker strategy and defender strategy pair. The interpretation unit is configured to determine, on the basis of the game balance, an optimum attack solution, as well as an optimum defense solution that is best suited to the optimum attack solution.

Method and device for predicting optimum attack and defence solutions in a military conflict scenario

The target marking device comprises a small-size flying unit, said flying unit being configured to fly at low height and to be guided with the aid of guidance commands, said flying unit being furnished with at least one sensor able to measure at least one parameter of the environment, a data transmission unit configured to emit at least data relating to measurements carried out by the sensor from the flying unit and to receive guidance orders at the flying unit, and at least one emitter able to emit position information.

Target marking device and target processing system comprising such a target marking device

Method and system for assisting in the verification and validation of an algorithm chain. The system () comprises an instrumentation module () of an algorithm chain, providing automatic data capture including at least some of the following data: interface data and internal algorithm data of the algorithm chain, a module () for automatic verification of functional rules, a learning module () for the modelling by learning of the constraints and algorithm criteria of the algorithm chain, and taking account of the validations performed by a human operator, and a module () for automatic detection of bugs and functional problems of the algorithm chain using statistical learning means.

Method and system for assisting in the verification and validation of an algorithm chain

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Le Plessis-Robinson, France

David Vigouroux