Replay available
The use of advanced technologies to modernise aviation and ATM is at the heart of SESAR’s digitalisation strategy. The SJU has funded a number of research projects which have applied AI to address a plethora of issues in ATM, aiming to reshape the future of aviation. A selection of exploratory and industrial research project results were presented, providing a flavour of concrete benefits AI is starting to bring to aviation.
Big data analytics to study intermodal passenger behaviour
Ricardo Herranz, Project lead BigData4ATM, Nommon
Machine learning in speech recognition
Hartmut Helmke, Project Leader, DLR
Aneta Cerna, Project leader, ANS of the Czech Republic
Deep neural networks in complexity management
Seddik Belkoura, Data Science Specialist, MUAC, EUROCONTROL
Machine learning to improve the take-off time prediction
Ramon Dalmau Codina, Data Scientist, EUROCONTROL
Moderator: Ruben Flohr, ATM Expert, SESAR Joint Undertaking