2023 AGENDA

SESAR researchers are advancing a range of technologies for the air traffic controller’s working position that would not look out of place on the Starship Enterprise! Among them are speech recognition tools supported by artificial intelligence and machine learning that can help controllers to avoid misunderstandings with pilots and speed up instructions, as well as a technology that can fade out aircraft where there are no detected conflicts so that controllers can focus on more complex traffic. This session and walking tour will look in detail at some of these innovations which are changing the interface of air traffic control.

Speech Recognition: Reducing ATCo’s clicking time by factor of 30!
Sebastian Schier-Morgenthal, DLR

Readback error detection assistant to increase ATM safety and reducing ATCo’s workload
Hartmut Helmke, DLR

Automatic Speech Recognition at the TWR CWP supported by AI and Machine Learning
Walter Rinaldi, Leonardo

Reduction of ATCO workload building trust on machine
Meira Jean-Paul, Skysoft & Johann Pradel, Skyguide

Using speech control to support ATCOs when applying dynamic airspace configurations
Erik G. Nilsson, Sintef

Moderated by Olivia Nunez, SESAR 3 JU

Followed by walking tour at 12:00

Radar Label Maintenance by Speech Recognition: Reducing ATCo’s clicking time by factor of 30!
Sebastian Schier-Morgenthal, DLR
AT-ONE
(NLR+DLR) #E19

Automatic speech recognition at the tower and ACC CWP supported by AI and machine learning
Giuseppe Piazzolla, Leonardo
Leonardo #D17

Readback error detection assistant to increase ATM safety and reducing ATCo’s workload
Hartmut Helmke, DLR
AT-ONE
(NLR+DLR) #E19

Reduction of ATCO workload building trust on machine
Jean-Paul Meira, Skysoft
Skyguide #G10

Using speech control to support ATCOs when applying dynamic airspace configuration
Erik G. Nilsson, Sintef
SINTEF #D3

This tour will be guided by Olivia Nunez, SESAR 3 JU