Raphael Monstein

Projekte

• Making I-CNS A Reality: New aviation technology for integrated communication, navigation, and surveillance / Teammitglied / laufend
• White-box Helicopter System Identification / Teammitglied / laufend
• Konzept und Machbarkeitstudie eines Leistungsreservenrechners für die allgemeine Luftfahrt / Teammitglied / abgeschlossen
• Neuartiger generischer Collision-Avoidance-Algorithmus / Stellv. Projektleiter:in / abgeschlossen
• Körperliche Belastungen bei Helikopter-Piloten mit Unterlastflügen und einem Bubble (Ausbuchtung) im Seitenfenster / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Figuet, B., Monstein, R., Waltert, M., & Morio, J. (2023). Data-driven mid-air collision risk modelling using extreme-value theory. Aerospace Science and Technology, 142, Part A(108646). https://doi.org/10.1016/j.ast.2023.108646
• Monstein, R., Capone, P., & Dettling, M. (2019). Determination of model structure from flight test with generalized additive models. Journal of Aircraft. https://doi.org/10.2514/1.C035171

Schriftliche Konferenzbeiträge, peer-reviewed

• Felux, M., Figuet, B., Lenders, V., Monstein, R., & Strohmeier, M. (2025). Navigating turbulence : understanding new GNSS risks in conflict zones [Conference paper]. 245–264. https://doi.org/10.23919/cycon65856.2025.11103718
• Krummen, J., Krauth, T., Allendorf, J., & Monstein, R. (2025). Improving efficiency through the publication of expected distances for standard terminal arrival routes [Conference paper]. Journal of Open Aviation Science, 2(2). https://doi.org/10.59490/joas.2024.7894
• Felux, M., Fischer, V., Jochems, S., Figuet, B., & Monstein, R. (2025, February 13). Navigating interference : examining in-flight GNSS spoofing patterns and signal disruptions. Proceedings of the 2025 International Technical Meeting of the Institute of Navigation. https://doi.org/10.33012/2025.19966
• Krummen, J., Nölke, L., & Monstein, R. (2023). Aircraft wake vortices affecting airport wind measurements [Conference paper]. Journal of Open Aviation Science, 1(2). https://doi.org/10.59490/joas.2023.7212
• Abà, A., Pedrioli, A., Monstein, R., Hitz, M., Schneider, R., & Capone, P. (2023, September 1). Convertiplane control during transition : the Collective and Throttle Lever (CATL). 49th European Rotorcraft Forum 2023 - Proceedings.
• Figuet, B., Monstein, R., & Steven, B. (2023, June 7). Data-driven airborne collision risk modelling using a probability density function. 15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023. https://doi.org/10.21256/zhaw-28806
• Monstein, R., Figuet, B., Krauth, T., Waltert, M., & Dettling, M. (2022). Large landing trajectory dataset for go-around analysis [Conference paper]. Engineering Proceedings, 28(1), 2. https://doi.org/10.3390/engproc2022028002
• Figuet, B., Waltert, M., Monstein, R., & Felux, M. (2022). Impact of GNSS outage on mid-air collision [Conference paper]. Proceedings of the IWAC2022, 41–48.
• Krauth, T., Morio, J., Olive, X., Figuet, B., & Monstein, R. (2021). Synthetic aircraft trajectories generated with multivariate density models [Conference paper]. Engineering Proceedings, 13(1), 7. https://doi.org/10.3390/engproc2021013007
• Figuet, B., Monstein, R., & Felux, M. (2020). Combined multilateration with machine learning for enhanced aircraft localization [Conference paper]. Proceedings, 59(2). https://doi.org/10.3390/proceedings2020059002
• Figuet, B., Monstein, R., Waltert, M., & Barry, S. (2020). Predicting airplane go-arounds using machine learning and open-source data [Conference paper]. Proceedings, 59(6). https://doi.org/10.3390/proceedings2020059006
• Barra, F., Capone, P., Monstein, R., Godio, S., & Guglieri, G. (2019, September 17). Implementation of a comprehensive mathematical model for tilt-rotor real-time flight simulation. 45th European Rotorcraft Forum, Warsaw, Poland, 17-20 September 2019. https://doi.org/10.21256/zhaw-19753

Forschungsdaten

Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel, 2022. Large landing trajectory data set for go-around analysis. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.7148117

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