Raphael Monstein

Projects

• Making I-CNS A Reality: New aviation technology for integrated communication, navigation, and surveillance / Team member / laufend
• White-box Helicopter System Identification / Team member / laufend
• Concept and Feasibility Study of a Power Reserve Calculator for General Aviation / Team member / abgeschlossen
• Novel Generic Collision Avoidance Algorithm / Deputy project leader / abgeschlossen

Publications

• Figuet, Benoit; Monstein, Raphael; Waltert, Manuel; Morio, Jérôme,

  2023.

  Data-driven mid-air collision risk modelling using extreme-value theory.

  Aerospace Science and Technology.

  142, Part A(108646).

  Available from: https://doi.org/10.1016/j.ast.2023.108646

• Monstein, Raphael; Capone, Pierluigi; Dettling, Marcel,

  2019.

  Determination of model structure from flight test with generalized additive models.

  Journal of Aircraft.

  Available from: https://doi.org/10.2514/1.C035171

• Krummen, Jan; Krauth, Timothé; Allendorf, Jan; Monstein, Raphael,

  2025.

  Improving efficiency through the publication of expected distances for standard terminal arrival routes[paper].

  In:

  12th OpenSky Symposium, Hamburg, Germany, 7-8 November 2024.

  TU Delft Open Publishing.

  Available from: https://doi.org/10.59490/joas.2024.7894

• Felux, Michael; Fischer, Valentin; Jochems, Sophie; Figuet, Benoit; Monstein, Raphael,

  2025.

  Navigating interference : examining in-flight GNSS spoofing patterns and signal disruptions[paper].

  In:

  Proceedings of the 2025 International Technical Meeting of The Institute of Navigation.

  2025 International Technical Meeting of The Institute of Navigation, Long Beach, CA, USA, 27-30 January 2025.

  Manassas, VA:

  Institute of Navigation.

  Available from: https://doi.org/10.33012/2025.19966

• Krummen, Jan; Nölke, Lena; Monstein, Raphael,

  2023.

  Aircraft wake vortices affecting airport wind measurements[paper].

  In:

  11th Opensky Symposium, Toulouse, France, 30-31 October 2023.

  TU Delft Open Publishing.

  Available from: https://doi.org/10.59490/joas.2023.7212

• Abà, Anna; Pedrioli, Andrea; Monstein, Raphael; Hitz, Manuel; Schneider, Rafael; Capone, Pierluigi,

  2023.

  Convertiplane control during transition : the Collective and Throttle Lever (CATL)[paper].

  In:

  49th European Rotorcraft Forum 2023 - Proceedings.

  49th European Rotorcraft Forum, Bückeburg, Germany, 5-7 September 2023.

  Bonn:

  Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V..

• Figuet, Benoit; Monstein, Raphael; Steven, Barry,

  2023.

  Data-driven airborne collision risk modelling using a probability density function[paper].

  In:

  15th Air Traffic Management Research and Development Seminar, Savannah, USA, 5-9 June 2023.

  ATM Seminar.

  Available from: https://doi.org/10.21256/zhaw-28806

• 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.

• 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

• 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

• 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

• Barra, Federico; Capone, Pierluigi; Monstein, Raphael; Godio, Simone; Guglieri, Giorgio,

  2019.

  Implementation of a comprehensive mathematical model for tilt-rotor real-time flight simulation[paper].

  In:

  45th European Rotorcraft Forum, Warsaw, Poland, 17-20 September 2019.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-19753

Research Data

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

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