Innovative solution for FMS computed trajectories validation by means of pilot actions emulation, comparison with PANS-OPS criteria and data mining techniques.

Project description

Simulation and artificial intelligence to optimise flight management systems

Fields of science

• natural sciences › computer and information sciences › data science › data analysis
• natural sciences › computer and information sciences › artificial intelligence › machine learning › unsupervised learning
• natural sciences › computer and information sciences › data science › big data
• natural sciences › computer and information sciences › software › software development
• engineering and technology › mechanical engineering › vehicle engineering › aerospace engineering › aircraft
• natural sciences › computer and information sciences › data science › data mining
• social sciences › economics and business
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

Programme(s)

• H2020-EU.3.4.5.1. - IADP Large Passenger Aircraft

Topic(s)

• JTI-CS2-2017-CfP07-LPA-03-14 - Innovative validation methods and tools for FMS

Call for proposal

H2020-CS2-CFP07-2017-02
See other projects for this call

Funding Scheme

CS2-IA - Innovation action

Coordinator

SCALIAN DS

Address

417 L'occitane
31670 Labege Cedex
France

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU contribution

€ 346 108,88

Participants (1)

CGX AERO

France

EU contribution

€ 507 083,50

Address

Espace Entreprises Le Causse
81100 Castres

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)