首页> 外国专利> METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE

METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE

机译:用于为飞机着陆辅助为人工智能机产生学习数据的方法和装置

摘要

The invention relates to a method implemented by a computer for generating labelled learning data for an artificial intelligence machine. The method comprises at least the steps of: - defining parameters for an approach scenario of an aircraft towards a runway; - using the parameters of the scenario in a flight simulator for generating simulated flight data, the flight simulator being configured to simulate the aircraft in the approach phase and an associated automatic pilot; - using the simulated flight data in a sensor simulator for generating simulated sensor data, the sensor simulator being configured to simulate a forward facing sensor on board an aircraft and capable of providing sensor data representing information of interest of a runway, the generated simulated sensor data representing 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 labelled learning data.
机译:本发明涉及由计算机实现的方法,用于为人工智能机器产生标记的学习数据。该方法至少包括以下步骤: - 定义用于朝向跑道的飞机的接近场景的参数; - 使用飞行模拟器中场景的参数,用于生成模拟飞行数据,飞行模拟器被配置为在接近相位和相关的自动飞行员中模拟飞机; - 使用传感器模拟器中的模拟飞行数据用于产生模拟传感器数据,传感器模拟器被配置为模拟飞机上的前向传感器,并能够提供表示跑道感兴趣信息的传感器数据,所产生的模拟传感器数据代表跑道兴趣的信息;并且使用模拟的飞行数据和模拟传感器数据来生成地面真理,与模拟传感器数据相关联的地面真理形成一对模拟标记的学习数据。

著录项

  • 公开/公告号WO2021089536A1

    专利类型

  • 公开/公告日2021-05-14

    原文格式PDF

  • 申请/专利权人 THALES;

    申请/专利号WO2020EP80803

  • 申请日2020-11-03

  • 分类号G01C23;G06K9;G06K9/46;G06T11;G06T17/05;

  • 国家 EP

  • 入库时间 2022-08-24 18:42:23

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