Interprétation et visualisation contextuelle de NOTAMs (messages aux navigants aériens)

Gérard M Dupont

Abstract:

In this article, we present a demonstration about the vi-
sualization of information automatically extracted from the
NOTAMs’ textual part. In the aeronautical domain, NO-
TAMs are messages published by governmental aviation
authorities for air traffic control. We detail the dataset
construction, the experiments to extract information with
deep learning (approach and results), as well as the link
with the contextual visualization on airport maps.