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    METHOD AND DEVICE FOR DETERMINING TRAJECTORIES OF MOBILE ELEMENTS
    1.
    发明申请
    METHOD AND DEVICE FOR DETERMINING TRAJECTORIES OF MOBILE ELEMENTS 有权

    公开(公告)号：US20210158128A1

    公开(公告)日：2021-05-27

    申请号：US16950759

    申请日：2020-11-17

    Applicant: THALES

    Inventor： Andrei PURICA ,  Béatrice PESQUET ,  Nicolas HONORE

    IPC: G06N3/04 ,  H04W4/029 ,  H04W4/02 ,  G06N20/00

    Abstract: A method for determining the trajectory of at least one mobile element from position data, includes an initial step consisting in classifying a set of positions relating to at least one detected mobile element by applying a first data classification algorithm to the set of positions, which provides an initial trajectory relating to each detected mobile element. The method comprises the following steps, implemented on each current observation window: classifying each new position detected in at least one trajectory by applying a second data classification algorithm; identifying, for each detected mobile element, the positions relating to the detected mobile element; determining an intermediate complete trajectory for each detected mobile element; determining a final complete trajectory for each detected mobile element.

    DECISION ASSISTANCE DEVICE AND METHOD FOR MANAGING AERIAL CONFLICTS
    4.
    发明申请
    DECISION ASSISTANCE DEVICE AND METHOD FOR MANAGING AERIAL CONFLICTS 有权

    公开(公告)号：US20220415189A1

    公开(公告)日：2022-12-29

    申请号：US17778851

    申请日：2020-11-23

    Applicant: THALES

    Inventor： Rémy SOUKARIE ,  Andrei PURICA ,  Dimitri MEUNIER ,  Béatrice PESQUET

    IPC: G08G5/00 ,  G08G5/04 ,  G06N3/08

    Abstract: A device for managing air traffic, in an airspace includes a reference aircraft and at least one other aircraft, the device receiving a three-dimensional representation of the airspace at a time when an air conflict is detected between the reference aircraft and the at least one other aircraft, the device comprising an airspace-encoding unit configured to determine a reduced-dimension representation of the airspace by applying a recurrent autoencoder to the three-dimensional representation of the airspace at the air-conflict detection time; a decision-assisting unit configured to determine a conflict-resolution action to be implemented by the reference aircraft, the decision-assisting unit implementing a deep-reinforcement-learning algorithm to determine the action on the basis of the reduced-dimension representation of the airspace, of information relating to the reference aircraft and/or the at least one other aircraft, and of a geometry corresponding to the air conflict.

    OPTIMIZED AIR TRAFFIC MANAGEMENT FOR UNMANNED AERIAL VEHICLES
    5.
    发明申请
    OPTIMIZED AIR TRAFFIC MANAGEMENT FOR UNMANNED AERIAL VEHICLES 有权

    公开(公告)号：US20220351629A1

    公开(公告)日：2022-11-03

    申请号：US17733861

    申请日：2022-04-29

    Applicant: THALES

    Inventor： Béatrice PESQUET-POPESCU ,  Nicolas MARTIN ,  Olivier RÉA ,  Andrei PURICA

    IPC: G08G5/00 ,  G08G5/04 ,  G06N3/08

    Abstract: A computer-implemented method includes receiving a trajectory request from an unmanned aerial vehicle, the request comprising: an initial point; a final point; at least one manoeuvrability parameter of the unmanned aerial vehicle; computing a plurality of optimized 4D trajectories between the initial point and the final point, complying with the at least one manoeuvrability parameter, and avoiding obstacles in an airspace, each 4D trajectory being associated with a performance score; a flight simulator simulating the plurality of 4D trajectories in order of decreasing performance score, until a 4D trajectory is considered to be flyable by the flight simulator; sending the trajectory considered to be flyable by the flight simulator to the unmanned aerial vehicle.

    PREDICTION DEVICE AND METHOD
    6.
    发明申请
    PREDICTION DEVICE AND METHOD 有权

    公开(公告)号：US20220277201A1

    公开(公告)日：2022-09-01

    申请号：US17631487

    申请日：2020-07-28

    Applicant: THALES

    Inventor： Andrei PURICA ,  Béatrice PESQUET-POPESCU

    IPC: G06N3/08

    Abstract: The embodiments of the invention provide a device for predicting the value of a variable intended to be used by a computer-implemented control system, the variable depending on multiple parameters, the parameters comprising a non-explicit parameter. Advantageously, the prediction device comprises a first neural network-based predictor configured so as to compute an estimate of the non-explicit parameter and a second neural network-based predictor configured so as to compute an estimate of the value of the variable from the estimate of the non-explicit parameter, the two predictors receiving an input dataset, each neural network being associated with a set of weights. The prediction device is configured so as to apply a plurality of iterations of a single learning function to the two predictors, the learning function comprising: a forward propagation block for computing, on the basis of the input data of the two predictors, the gradient of a minimization function for minimizing a cost function of the first predictor; and a backpropagation block for updating the weights of the neural networks of the two predictors by backpropagating the gradients computed by the forward propagation block. The prediction device estimates the value of the variable to be predicted at a future time, after the iterations of the learning function, by applying input data to the neural networks of the two predictors and using the weights updated by the learning function.

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