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Timothé Krauth
Timothé Krauth
PhD Researcher, ZHAW, ONERA Toulouse
Adresse e-mail validée de zhaw.ch
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Synthetic aircraft trajectories generated with multivariate density models
T Krauth, J Morio, X Olive, B Figuet, R Monstein
Engineering Proceedings 13 (1), 7, 2021
82021
A framework to evaluate aircraft trajectory generation methods
X Olive, J Sun, MCR Murça, T Krauth
Proceedings of the 14th USA/Europe Air Traffic Management Research and …, 2021
52021
Deep generative modelling of aircraft trajectories in terminal maneuvering areas
T Krauth, A Lafage, J Morio, X Olive, M Waltert
Machine Learning with Applications 11, 100446, 2023
42023
Large Landing Trajectory Dataset for Go-Around Analysis
R Monstein, B Figuet, T Krauth, M Waltert, M Dettling
Engineering Proceedings 28 (1), 2, 2022
42022
Quantitative air risk assessment for a drone inspection mission along fast train lines
X Olive, P Le Blaye, L Sedov, T Krauth
Air Traffic Management Research and Development Seminar (ATM) 2023, 2023
22023
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
J Demange-Chryst, F Bachoc, J Morio, T Krauth
arXiv preprint arXiv:2310.09194, 2023
2023
Collision risk assessment in terminal manoeuvring areas based on trajectory generation methods
T Krauth, B Figuet, X Olive, J Morio
15th Air Traffic Management Research and Development Seminar, Savannah, USA …, 2023
2023
Advanced Collision Risk Estimation in Terminal Manoeuvring Areas Using a Disentangled Variational Autoencoder for Uncertainty Quantification
T Krauth, J Morio, X Olive, B Figuet
Available at SSRN 4581022, 0
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