Raphael Monstein
Cited by
Cited by
Predicting airplane go-arounds using machine learning and open-source data
B Figuet, R Monstein, M Waltert, S Barry
Proceedings 59 (1), 6, 2020
Synthetic aircraft trajectories generated with multivariate density models
T Krauth, J Morio, X Olive, B Figuet, R Monstein
Engineering Proceedings 13 (1), 7, 2021
Implementation of a comprehensive mathematical model for tilt-rotor real-time flight simulation
F Barra, P Capone, R Monstein, S Godio, G Guglieri
45th European Rotorcraft Forum, Warsaw, Poland, 17-20 September 2019, 2019
Data-driven mid-air collision risk modelling using extreme-value theory
B Figuet, R Monstein, M Waltert, J Morio
Aerospace Science and Technology 142, 108646, 2023
Determination of model structure from flight test with generalized additive models
R Monstein, P Capone, M Dettling, M Vrdoljak
Journal of Aircraft 56 (4), 1367-1375, 2019
Large landing trajectory dataset for go-around analysis
R Monstein, B Figuet, T Krauth, M Waltert, M Dettling
Engineering Proceedings 28 (1), 2, 2022
Combined multilateration with machine learning for enhanced aircraft localization
B Figuet, R Monstein, M Felux
Proceedings 60 (1), 2, 2020
Data-driven airborne collision risk modelling using a probability density function
B Figuet, R Monstein, B Steven
15th Air Traffic Management Research and Development Seminar, Savannah, USA …, 2023
Impact of GNSS outage on mid-air collision risk
B Figuet, M Waltert, R Monstein, M Felux
Proceedings of International Workshop on ATM/CNS 2022 International Workshop …, 2022
Aircraft wake vortices affecting airport wind measurements
J Krummen, L Noelke, R Monstein
Journal of Open Aviation Science 1 (2), 2023
Convertiplane control during transition: the Collective and Throttle Lever (CATL)
A Abà, A Pedrioli, R Monstein, M Hitz, R Schneider, P Capone
49th European Rotorcraft Forum, Bückeburg, Germany, 5-7 September 2023, 2023
The system can't perform the operation now. Try again later.
Articles 1–11