FR3099282B1 - Analyse de trajectoires d'aeronefs - Google Patents

Analyse de trajectoires d'aeronefs Download PDF

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Publication number
FR3099282B1
FR3099282B1 FR1908394A FR1908394A FR3099282B1 FR 3099282 B1 FR3099282 B1 FR 3099282B1 FR 1908394 A FR1908394 A FR 1908394A FR 1908394 A FR1908394 A FR 1908394A FR 3099282 B1 FR3099282 B1 FR 3099282B1
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France
Prior art keywords
trajectories
aircraft
steps
enumerated sequences
several
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FR1908394A
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English (en)
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FR3099282A1 (fr
Inventor
Dorian Martinez
Christophe Pierre
Jori Ferrus
Philippe Francez
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Thales SA
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Thales SA
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Priority to FR1908394A priority Critical patent/FR3099282B1/fr
Priority to DE112020003529.8T priority patent/DE112020003529T5/de
Priority to US17/629,737 priority patent/US20220254259A1/en
Priority to PCT/EP2020/070740 priority patent/WO2021013908A1/fr
Publication of FR3099282A1 publication Critical patent/FR3099282A1/fr
Application granted granted Critical
Publication of FR3099282B1 publication Critical patent/FR3099282B1/fr
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0043—Traffic management of multiple aircrafts from the ground
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0017—Arrangements for implementing traffic-related aircraft activities, e.g. arrangements for generating, displaying, acquiring or managing traffic information
    • G08G5/0021—Arrangements for implementing traffic-related aircraft activities, e.g. arrangements for generating, displaying, acquiring or managing traffic information located in the aircraft
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003—Flight plan management
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0047—Navigation or guidance aids for a single aircraft
    • G08G5/0056—Navigation or guidance aids for a single aircraft in an emergency situation, e.g. hijacking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Remote Sensing (AREA)
  • Business, Economics & Management (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Emergency Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

Le document décrit des dispositifs et des procédés mis en œuvre par ordinateur pour l’analyse de trajectoires d’aéronefs, le procédé comprenant les étapes consistant à recevoir des données associées à une pluralité de trajectoires d’aéronefs ; décomposer lesdites trajectoires en une pluralité de vecteurs, un vecteur comprenant une ou plusieurs séquences d’énumérés; aligner plusieurs trajectoires vectorisées par décalage des séquences d’énumérés d’une ou de plusieurs positions; et détecter une ou plusieurs anomalies dans une ou plusieurs trajectoires par classification non-supervisée (e.g. DBSCAN). Des développements décrivent la détermination de modèles de détection d’anomalies de trajectoires de manière supervisée, l’utilisation d’algorithmes basés sur la densité, l’utilisation d’un ou de plusieurs réseaux de neurones et/ou arbres de décision, une ou plusieurs étapes d’affichage, notamment de causes racines (intelligence artificielle explicable ou compréhensible), le traitement de flux de données avioniques, etc. Des aspects de système (e.g. calcul) et de logiciel sont décrits. Figure pour l’abrégé: Fig 1
FR1908394A 2019-07-25 2019-07-25 Analyse de trajectoires d'aeronefs Active FR3099282B1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
FR1908394A FR3099282B1 (fr) 2019-07-25 2019-07-25 Analyse de trajectoires d'aeronefs
DE112020003529.8T DE112020003529T5 (de) 2019-07-25 2020-07-23 Analyse von Flugbahnen von Luftfahrzeugen
US17/629,737 US20220254259A1 (en) 2019-07-25 2020-07-23 Analysis of aircraft trajectories
PCT/EP2020/070740 WO2021013908A1 (fr) 2019-07-25 2020-07-23 Analyse de trajectoires d'aeronefs

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1908394A FR3099282B1 (fr) 2019-07-25 2019-07-25 Analyse de trajectoires d'aeronefs
FR1908394 2019-07-25

Publications (2)

Publication Number Publication Date
FR3099282A1 FR3099282A1 (fr) 2021-01-29
FR3099282B1 true FR3099282B1 (fr) 2021-07-02

Family

ID=69172858

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FR1908394A Active FR3099282B1 (fr) 2019-07-25 2019-07-25 Analyse de trajectoires d'aeronefs

Country Status (4)

Country Link
US (1) US20220254259A1 (fr)
DE (1) DE112020003529T5 (fr)
FR (1) FR3099282B1 (fr)
WO (1) WO2021013908A1 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11263347B2 (en) * 2019-12-03 2022-03-01 Truata Limited System and method for improving security of personally identifiable information
CN111047182B (zh) * 2019-12-10 2021-12-28 北京航空航天大学 一种基于深度无监督学习的空域复杂度评估方法
US20220230547A1 (en) * 2021-01-16 2022-07-21 Jeffrey Floyd Miller PUD application and protocols for deployment and qualification of independent non-centralized registered autonomous Drone, Quadcopter, Helicopter or UAV with an ESN, SN, MID, Remote ID or FAA registration number
CN116957421B (zh) * 2023-09-20 2024-01-05 山东济宁运河煤矿有限责任公司 一种基于人工智能的洗选生产智能化监测系统

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7937334B2 (en) * 2006-05-31 2011-05-03 Lockheed Martin Corporation System and method for defining normal operating regions and identifying anomalous behavior of units within a fleet, operating in a complex, dynamic environment
US8253564B2 (en) * 2009-02-19 2012-08-28 Panasonic Corporation Predicting a future location of a moving object observed by a surveillance device
WO2014093670A1 (fr) * 2012-12-12 2014-06-19 University Of North Dakota Analyse de données de vol à l'aide de modèles prédictifs
US10915115B2 (en) * 2018-08-02 2021-02-09 Nvidia Corporation Method and apparatus for enabling map updates using a blockchain platform

Also Published As

Publication number Publication date
US20220254259A1 (en) 2022-08-11
DE112020003529T5 (de) 2022-05-19
WO2021013908A1 (fr) 2021-01-28
FR3099282A1 (fr) 2021-01-29

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