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公开(公告)号:US20210141986A1
公开(公告)日:2021-05-13
申请号:US17027629
申请日:2020-09-21
Applicant: THALES
Inventor: Thierry GANILLE , Guillaume PABIA
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.
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公开(公告)号:US20230377328A1
公开(公告)日:2023-11-23
申请号:US18319431
申请日:2023-05-17
Applicant: THALES
Inventor: Guillaume PABIA , Bruno CAPELLE , Pierre MARIANI , Nicolas COUDER , Ali KARKI , Siegfried ROUZES
Abstract: A method of generating a peripheral image of an aircraft having pixels obtained from a plurality of cameras equipping the aircraft. The method is implemented by an electronic generation device. The method comprises a step of receiving a position of a peripheral point of view from which the peripheral image is to be generated. The method comprises steps of obtaining an orientation of the aircraft and of acquisition of a respective image from each camera. The method comprises a step of calculating a respective transfer function for each camera, each transfer function being intended for being applied to a pixel of the peripheral image so as to identify a possible corresponding pixel of the acquired image associated with the transfer function. The method comprises a step of generating the peripheral image from the images acquired from each camera and from each calculated transfer function.
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公开(公告)号:US20200304290A1
公开(公告)日:2020-09-24
申请号:US16817516
申请日:2020-03-12
Applicant: THALES
Inventor: François COULMEAU , Dorian MARTINEZ , Guillaume PABIA
Abstract: Computer-implemented methods and systems for managing the lifecycle of aeronautical data stored in a blockchain, include steps of receiving or sending aeronautical data, and encrypting and/or decrypting these data using a smart contract. The use of a plurality of blockchains, and the facts and rules of management of the lifecycle of the data (e.g. programmed obsolescence, time-dependent quality indicator, etc.) are described. Transactional aspects; the use of oracle services; asymmetric, homomorphic and post-quantum encryption methods; the use of chameleon hash functions, so as to manipulate at least partially redactable blockchains; and machine-learning techniques, are in particular described with respect to a number of embodiments. Software and system aspects are described.
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公开(公告)号:US20220406040A1
公开(公告)日:2022-12-22
申请号:US17774807
申请日:2020-11-03
Applicant: THALES
Inventor: Thierry GANILLE , Guillaume PABIA , Christian NOUVEL
IPC: G06V10/774 , G06T5/50
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.
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公开(公告)号:US20200334995A1
公开(公告)日:2020-10-22
申请号:US16843793
申请日:2020-04-08
Applicant: THALES
Inventor: Guillaume PABIA
Abstract: Systems and methods implemented by computer for the sharing of weather data are provided, a method notably includes the steps of collecting data during aircraft flights, receiving data relating to the trajectory of a client aircraft; based on said trajectory, selecting relevant weather data in a shared weather database comprising the collected weather data; in response to a request from the client aircraft, communicating the weather data selected according to an exchange control mechanism. Developments describe a weather data exchange control mechanism using smart contracts, the use of confidence scores, computations of correlation between meteorology declared and measured in flight, the use of drones as probes, the use of open sources, of machine learning, of management of time-based and/or space-based validity of the weather data.
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公开(公告)号:US20240386517A1
公开(公告)日:2024-11-21
申请号:US18688780
申请日:2022-09-06
Applicant: THALES
Inventor: Laurent LALUQUE , Guillaume PABIA , Pierre-Etienne LEGOUX
IPC: G06Q50/40
Abstract: The present invention relates to a method for estimating an environmental footprint of a flight of an aircraft. The method is implemented by a decentralized electronic estimating system including at least a first entity, a second entity and a third entity, the second entity being distinct from the first entity and the third entity. The method includes receipt, by the second entity, from the first entity, at least one datum relative to the aircraft or its environment during the flight. The method also includes association, by the second entity, of a measurement uncertainty with each datum received by the second entity. The method further includes estimation, by the third entity, of an environmental indicator representative of the environmental footprint, on the basis of at least one datum and of the uncertainty associated with the at least one datum.
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公开(公告)号:US20240105076A1
公开(公告)日:2024-03-28
申请号:US18276032
申请日:2022-02-07
Applicant: THALES
Inventor: Pascal PEYRONNET , Guillaume PABIA
CPC classification number: G09B9/08 , G09B19/165
Abstract: A method for assessing technical and non-technical skills of an operator, includes a step of collecting endogenous data relating to physical manifestations of the operator, and exogenous data relating to the context of a session; steps, implemented by data processing modules, of: correlating the collected data in order to link endogenous data to exogenous data; detecting, using the correlated data, observable behavior data comprising at least one trigger event parameter and one action parameter; analyzing the observable behavior data in predefined analysis sequences, each predefined analysis sequence being specific to a skill to be assessed, and comprising a trigger event parameter and an action parameter characterizing an expected observable behavior according to a predefined situation, the analysis generating a measurement indicator; assessing the behaviors of the operator, by comparing an observed behavior with an expected reference behavior; assessing each skill of the operator on the basis of the results of the behavior assessments.
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