公开(公告)号：US11651302B2

公开(公告)日：2023-05-16

申请号：US17027629

申请日：2020-09-21

Applicant: THALES

Inventor： Thierry Ganille ,  Guillaume Pabia

IPC: G06N20/00 ,  G06Q10/04 ,  G06F30/27 ,  G05D1/00 ,  G05D1/10 ,  G06N3/04 ,  G06F18/214 ,  G06F18/21

CPC classification number: G06Q10/04 ,  G05D1/0088 ,  G05D1/101 ,  G06F18/214 ,  G06F18/217 ,  G06F30/27 ,  G06N3/04 ,  G06N20/00

Abstract: A computer-implemented method for generating synthetic training data for an artificial-intelligence machine, the method includes at least steps of: defining parameters for at least one approach scenario of an aircraft approaching a runway; using the parameters of the at least one scenario in a flight simulator to generate simulated flight data, the flight simulator being configured to simulate the aircraft in the phase of approach toward the runway and to simulate an associated automatic pilot; using the simulated flight data to generate a plurality of ground-truth images, the ground-truth images corresponding to various visibility conditions; and generating, from each ground-truth image, a plurality of simulated sensor images.

公开(公告)号：US12217330B2

公开(公告)日：2025-02-04

申请号：US17774807

申请日：2020-11-03

Applicant: THALES

Inventor： Thierry Ganille ,  Guillaume Pabia ,  Christian Nouvel

IPC: G06T11/00 ,  G06T5/50 ,  G06V10/44 ,  G06V10/774 ,  G06V10/82 ,  G06V20/10

Abstract: A computer-implemented method for generating labeled training data for an artificial intelligence machine is provided. The method comprises at least the steps of: defining parameters for a scenario of an aircraft approaching a runway; using the parameters of the scenario in a flight simulator to generate simulated flight data, the flight simulator being configured so as to simulate the aircraft in the approach phase and an associated autopilot; using the simulated flight data in a sensor simulator to generate simulated sensor data, the sensor simulator being configured so as to simulate a forward-facing sensor on board an aircraft and able to provide sensor data representative of information of interest of a runway, the simulated sensor data that are generated being representative of information of interest of the runway; and using the simulated flight data and the simulated sensor data to generate a ground truth, the ground truth associated with the simulated sensor data forming a pair of simulated labeled training data.