METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE
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 gen...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Patent |
Sprache: | eng ; fre ; ger |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | PABIA, Guillaume GANILLE, Thierry NOUVEL, Christian |
description | 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. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP4055349A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP4055349A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP4055349A13</originalsourceid><addsrcrecordid>eNqNjDEKwkAQRdNYiHqHuYCgJCksh93ZZGAzkc1gG0JYK9FA9P5u1ANY_Q___bfOXg1p3VpAsWDpwobAtQEqEgqoLBV4wiBLsaj4GVEAg7Jjw-iBRcl7To_0bdDULF8HcjABnYJP8kWAXcedYuK22eo63Oa4--UmA0dq6n2cHn2cp2GM9_js6VwcyjIvTnjM_0DeFyM4LQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE</title><source>esp@cenet</source><creator>PABIA, Guillaume ; GANILLE, Thierry ; NOUVEL, Christian</creator><creatorcontrib>PABIA, Guillaume ; GANILLE, Thierry ; NOUVEL, Christian</creatorcontrib><description>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.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; GYROSCOPIC INSTRUMENTS ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SURVEYING ; TESTING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220914&DB=EPODOC&CC=EP&NR=4055349A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220914&DB=EPODOC&CC=EP&NR=4055349A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PABIA, Guillaume</creatorcontrib><creatorcontrib>GANILLE, Thierry</creatorcontrib><creatorcontrib>NOUVEL, Christian</creatorcontrib><title>METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE</title><description>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.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>GYROSCOPIC INSTRUMENTS</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SURVEYING</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEKwkAQRdNYiHqHuYCgJCksh93ZZGAzkc1gG0JYK9FA9P5u1ANY_Q___bfOXg1p3VpAsWDpwobAtQEqEgqoLBV4wiBLsaj4GVEAg7Jjw-iBRcl7To_0bdDULF8HcjABnYJP8kWAXcedYuK22eo63Oa4--UmA0dq6n2cHn2cp2GM9_js6VwcyjIvTnjM_0DeFyM4LQ</recordid><startdate>20220914</startdate><enddate>20220914</enddate><creator>PABIA, Guillaume</creator><creator>GANILLE, Thierry</creator><creator>NOUVEL, Christian</creator><scope>EVB</scope></search><sort><creationdate>20220914</creationdate><title>METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE</title><author>PABIA, Guillaume ; GANILLE, Thierry ; NOUVEL, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4055349A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>GYROSCOPIC INSTRUMENTS</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SURVEYING</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>PABIA, Guillaume</creatorcontrib><creatorcontrib>GANILLE, Thierry</creatorcontrib><creatorcontrib>NOUVEL, Christian</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PABIA, Guillaume</au><au>GANILLE, Thierry</au><au>NOUVEL, Christian</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE</title><date>2022-09-14</date><risdate>2022</risdate><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.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng ; fre ; ger |
recordid | cdi_epo_espacenet_EP4055349A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING GYROSCOPIC INSTRUMENTS HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SURVEYING TESTING |
title | METHOD AND DEVICE FOR GENERATING LEARNING DATA FOR AN ARTIFICIAL INTELLIGENCE MACHINE FOR AIRCRAFT LANDING ASSISTANCE |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T12%3A48%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=PABIA,%20Guillaume&rft.date=2022-09-14&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP4055349A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |