Curve clustering based on second order information: application to bad runway condition detection

Published in Preprint, 2017

Clustering of functional data (curves) using second-order statistics. Applied to runway condition monitoring from flight data recorder streams — detecting degraded surface conditions from aircraft behaviour during landing roll.

Collaboration with Ecole Nationale de l’Aviation Civile (ENAC)