公开(公告)号：US12198033B2

公开(公告)日：2025-01-14

申请号：US16950759

申请日：2020-11-17

Applicant: THALES

Inventor： Andrei Purica ,  Béatrice Pesquet ,  Nicolas Honore

IPC: G06N3/045 ,  G01S13/87 ,  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.

公开(公告)号：US11984035B2

公开(公告)日：2024-05-14

申请号：US17778851

申请日：2020-11-23

Applicant: THALES

Inventor： Rémy Soukarie ,  Andrei Purica ,  Dimitri Meunier ,  Béatrice Pesquet

IPC: G08G5/00 ,  G06N3/084 ,  G08G5/04

CPC classification number: G08G5/0043 ,  G06N3/084 ,  G08G5/0026 ,  G08G5/0039 ,  G08G5/045

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.