Benoit Figuet
Benoit Figuet
ZHAW
School of Engineering
Aviation Infrastructure
Technikumstrasse 71
8400 Winterthur
Personal profile
Position at the ZHAW
Research assistant in Flight Mechanics and Flight Control Systems
www.zhaw.ch/de/engineering/institute-zentren/zav/aircraft-technologies/flugmechanik-und-flugregelungssysteme
Expertise and research interests
Collision Risk Modelling: Data Science - Machine Learning - Stochastic simulation
Flight Control Systems - Simulation
Educational background
Master of Engineering - Grenoble Institute of Technology 2015
Professional milestones
2015-2016 Technical Expert in Flight Guidance and Control - DGA
Projects
Publications
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Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel,
2022.
Large landing trajectory dataset for go-around analysis [paper].
In:
10th OpenSky Symposium, Delft, The Netherlands, 10-11 November 2022.
MDPI.
pp. 2.
Available from: https://doi.org/10.3390/engproc2022028002
-
Figuet, Benoit; Waltert, Manuel; Monstein, Raphael; Felux, Michael,
2022.
Impact of GNSS outage on mid-air collision [paper].
In:
Proceedings of the IWAC2022.
7th International Workshop on ATM/CNS (IWAC), Tokyo, Japan (online), 25-27 October 2022.
Tokyo:
Electronic Navigation Research Institute.
pp. 41-48.
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Krauth, Timothé; Morio, Jérôme; Olive, Xavier; Figuet, Benoit; Monstein, Raphael,
2021.
Synthetic aircraft trajectories generated with multivariate density models [paper].
In:
9th OpenSky Symposium, Brussels, Belgium, 18-19 November 2021.
MDPI.
pp. 7.
Available from: https://doi.org/10.3390/engproc2021013007
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Figuet, Benoit; Monstein, Raphael; Felux, Michael,
2020.
Combined multilateration with machine learning for enhanced aircraft localization [paper].
In:
8th OpenSky Symposium, online, 12-13 November 2020.
MDPI.
Available from: https://doi.org/10.3390/proceedings2020059002
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Figuet, Benoit; Monstein, Raphael; Waltert, Manuel; Barry, Steven,
2020.
Predicting airplane go-arounds using machine learning and open-source data [paper].
In:
8th OpenSky Symposium, online, 12-13 November 2020.
MDPI.
Available from: https://doi.org/10.3390/proceedings2020059006