Mbda France

Alexandre Kotenkoff

Mathias Formoso

David Vigouroux

Vincent Jeauneau

Stéphane Le Menec

Antoine Vivares

Olivier Hebert

Charlotte Touchard

Arnaud Durantin

Christophpe Perel

Cédric Leboucher

Hyosang Shin S

Alain Bandini

Ronan Fruit

Arnaud Casteigts

Léo Dumas

S Hyosang Shin

Christophe Perel

Edouard Debry

The neutralisation system () comprises a drone () configured to be able to fly close to a target and transmit at least position information concerning the position of the target, the neutralisation system () also comprising at least one missile () capable of being guided towards the target in order to neutralise it and at least one control station (), the control station () comprising a receiving unit (B) capable of receiving at least the position information transmitted by the drone () and a display unit (A) capable of displaying this information to an operator, the missile () being configured to be able to be guided towards the target by means of the position information received by the control station ().

System for neutralising a target using a drone and a missile

The target marking device () comprises a drone () which is provided with at least one transmitter (), the transmitter () comprising an activation element () for activating it so that it transmits at a given time a signal (S) which represents a position information item, the transmitter () being configured to transmit at least one of the following signals: an infrared signal, a light signal, a sound signal, a signal generated by a chemical substance, the target marking device () being part of a target tracking system () and/or a target processing system which is provided with movable machinery ().

Target marking device and target tracking and processing systems comprising such a device

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

The optimisation device () comprises means () for inputting data, means () for defining, on the basis of input data, time windows of availability and efficiency, relative to resources in consideration, an element () for expressing a space of solutions, i.e. said time windows, as probabilities, generating time-continuous functions in compliance with said time windows, an element () for optimising the resource allocation plan from the solutions space expressed as probabilities in this way, and user means () for using an optimal allocation plan defined in this way.

Method and device for optimising a resource allocation plan

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Le Plessis-Robinson, France

Alexandre Kotenkoff