Research Staff: Dr.-Ing. Philipp Sieberg

Sieberg

Dr.-Ing. Philipp Sieberg

Room: MD-226

Phone: +49 (0)203 379-1862

Telefax: +49 (0)203 379-4143

E-Mail: ​philipp.sieberg@uni-due.de

LinkedIn

ResearchGate 

Research Profile

  • Intelligent Transportation Systems (ITS)
  • Vehicle Dynamics
  • Machine Learning
  • Hybrid methods and approaches
  • Applied Artificial Intelligence

Title of the dissertation

Hybrid Methods in Vehicle Dynamics State Estimation and Control – Exploiting Potentials and Ensuring Reliability of Artificial Intelligence

Final thesis works

  • Topic of the master thesis: "Conception, development and validation of an active roll stabilization under consideration of realistic development aspects".
  • Topic of the Bachelor thesis: "Design, control and computer-aided evaluation of a magnetic field scanner for testing permanent magnets".

Activities in boards and commissions

Invited talks

  • "Nonlinear model-based control - A contribution to active roll stabilisation", 05 September 2019, 14th Dortmund Autotag, Dortmund, Germany

Prizes and scholarships

  • "Award for Particularly Outstanding Graduation", Faculty of Engineering, University of Duisburg-Essen
  • Award for outstanding degree in the Master's programme in Mechanical Engineering, Faculty of Engineering, University of Duisburg-Essen.
  • First prize for outstanding Master's thesis 2017, Alumni Lehrstuhl für Mechatronik e.V. of the University of Duisburg-Essen

Current research projects

Publications

    2023

  • Haas, Alexander; Menze, Gregor; Sieberg, Philipp; Schramm, Dieter
    An Objective Evaluation Approach for Safety-Relevant Steering Feedback on a Test Bench
    In: Vehicles Vol. 5 (2023) Nr. 4, pp. 1727 - 1742
  • Haas, Alexander; Schrage, Benedikt; Menze, Gregor; Sieberg, Philipp Maximilian; Schramm, Dieter
    Improvements on the Dynamical Behavior of a HiL-Steering System Test Bench
    In: Actuators Vol. 12 (2023) Nr. 5, 186
  • Sieberg, Philipp; Hanke, Stefanie;
    Challenges and potentials in the classification of wear mechanisms by artificial intelligence
    Konferenz 24th International Conference on Wear of Materials, 16.–20.04.2023, Banff, Alberta, Canada,
    In: Wear Vol. 522 (2023) 204725
  • Stockem Novo, Anne; Hürten, Christian; Baumann, Robin; Sieberg, Philipp
    Self-evaluation of automated vehicles based on physics, state-of-the-art motion prediction and user experience
    In: Scientific Reports Vol. 13 (2023) Nr. 1, 12692
  • Haas, Alexander; Schrage, Benedikt; Menze, Gregor; Sieberg, Philipp; Schramm, Dieter
    Oscillation and Vibration Reduction Approaches on a HiL-Steering-Test-Bench
    In: IEEE/ASME Transactions on Mechatronics (T-MECH) (2023) in press
  • 2022

  • Hürten, Christian; Sieberg, Philipp; Schramm, Dieter
    Determining Required Simulation Model Fidelity for Developing an Advanced Driver Assistance System for Automated Lane Change Decision Making
    In: Proceedings of the AmE 2022 - Automotive meets Electronics / 13. GMM-Symposium, 29.-30. September 2022, Dortmund, Germany 2022, pp. 13 - 18
  • Jarofka, Maximilian; Sieberg, Philipp; Hürten, Christian; Benedens, Tim; Peters, Ricarda; Kracht, Frédéric E.; Schramm, Dieter
    Template for Preparation of Papers for IEEE Sponsored Conferences & Symposia
    In: Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems (ITSC 2022) / 25th IEEE International Conference on Intelligent Transportation Systems (ITSC 2022): 08-12 October 2022; Macau, China 2022, pp. 1548 - 1553
  • Hürten, Christian; Sieberg, Philipp; Schramm, Dieter
    Generating a Multi-fidelity Simulation Model Estimating the Models’ Applicability with Machine Learning Algorithms
    In: Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications / 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022): July 14 - 16, 2022; Lisbon, Portugal 2022, pp. 131 - 141
  • Sieberg, Philipp Maximilian; Schramm, Dieter
    Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems
    In: Sensors Vol. 22 (2022) Nr. 9, 3513
  • Warth, Georg; Sieberg, Philipp; Unterreiner, Michael; Schramm, Dieter
    A Concept for Using Road Wetness Information in an All-Wheel-Drive Control
    In: Energies Vol. 15 (2022) Nr. 4, 1284
  • Sieberg, Philipp; Blume, Sebastian; Reicherts, Sebastian; Maas, Niko; Schramm, Dieter
    Hybrid State Estimation : A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators
    In: IEEE Transactions on Intelligent Transportation Systems (T-ITS) Vol. 23 (2022) Nr. 7, pp. 6337 - 6346
  • Sieberg, Philipp Maximilian; Kurtulan, Dzhem; Hanke, Stefanie
    Wear Mechanism Classification Using Artificial Intelligence
    In: Materials Vol. 15 (2022) Nr. 7, 2358
  • 2021

  • Bahr, Matthias; Reicherts, Sebastian; Sieberg, Philipp; Morss, Luca; Schramm, Dieter
    Application of Artificial Neural Networks for Active Roll Control Based on Actor-Critic Reinforcement Learning
    In: Simulation and Modeling Methodologies, Technologies and Applications: 9th International Conference, SIMULTECH 2019 Prague, Czech Republic, July 29-31, 2019, Revised Selected Papers / SIMULTECH ; July 29-31, 2019, Prague / Obaidat, Mohammad S.; Ören, Tuncer; Szczerbicka, Helena (Eds.) 2021, pp. 61 - 82
  • Jarofka, Maximilian; Sieberg, Philipp; Hürten, Christian; Benedens, Tim; Peters, Ricarda; Kracht, Frédéric Etienne; Schramm, Dieter
    From Real to Virtual Environment : Integration of Publicly Available Geodata into a Simulation Environment
    In: AISS 2021 - Autonomous Inland and Short Sea Shipping Conference: Book of Abstracts / Autonomous Inland and Short Sea Shipping Conference (AISS 2021), 2. & 3. November 2021, Duisburg, Germany / Competence Centre for Autonomous Inland and Short Sea Shipping (Eds.) (2021) pp. 15 - 16
  • Sieberg, Philipp; Schramm, Dieter
    Central Non-Linear Model-Based Predictive Vehicle Dynamics Control
    In: Applied Sciences Vol. 11 (2021) Nr. 10, 4687
  • Sieberg, Philipp; Sebastian Blume; Schramm, Dieter
    Side-slip angle estimation by artificial neural networks for vehicle dynamics control applications
    In: AmE 2021: Automotive meets Electronics / 12. GMM-Symposium, 10.-11. März 2021, online event 2021, pp. 57 - 62
  • Sieberg, Philipp;
    Hybrid Methods in Vehicle Dynamics State Estimation and Control – Exploiting Potentials and Ensuring Reliability of Artificial Intelligence
    Duisburg, Essen (2021) XXXIII, 178 Seiten
  • 2020

  • Nieradzik, Markus; Bruckmann, Tobias; Maas, Niko; Sieberg, Philipp; Schneider, Michael; Bartels, Benedikt
    Anforderungsanalyse und Machbarkeitsstudie für das automatisierte, konduktive Laden von Elektrofahrzeugen
    In: Sechste IFToMM D-A-CH Konferenz 2020 / 6. IFToMM D-A-CH Konferenz 2020 : 27./28. Februar 2020, Campus Technik Lienz 2020, pp. 113 - 114
  • Harnack, Nele; Blume, Sebastian; Reicherts, Sebastian; Sieberg, Philipp M.; Schramm, Dieter
    Simulation der Gesamtfahrzeugdynamik durch KNN mittels LSTM-Zellen
    In: Neue Dimensionen der Mobilität: Technische und Betriebswirtschaftliche Aspekte / 11. Wissenschaftsforum Mobilität, 2019, Duisburg / Proff, Heike (Eds.) 2020, pp. 689 - 706
  • Sieberg, Philipp; Hürten, Christian; Schramm, Dieter
    Representation of an Integrated Non-Linear Model-Based Predictive Vehicle Dynamics Control System by a Co-Active Neuro-Fuzzy Inference System
    In: Proceedings of the IEEE 31st IEEE Symposium on Intelligent Vehicle / IV2020, 19. October - 13. November 2020, (Virtual) Las Vegas, USA 2020, pp. 572 - 577
  • Bakhshande, Fateme; Boschmann, Waldemar; Dahlke, Lennart; Henn, Rupert; Höpken, Jens; Jarofka, Maximilian; Kracht, Frédéric Etienne; Maas, Niko; Oberhagemann, Jan; Schramm, Dieter; Sieberg, Philipp; Singh-Thind, Navreet; Söffker, Dirk; Spiller, Mark;
    The AutoBin Project : Key Concepts, Status, and Intended Outcomes
    Autonomous Inland and Short Sea Shipping Conference ; AISS2020 ; 23 October 2020, Duisburg,
    Duisburg (2020)
  • 2019

  • Sieberg, Philipp; Schmid, Markus; Reicherts, Sebastian; Schramm, Dieter
    Computation time optimization of a model-based predictive roll stabilization by neuro-fuzzy systems
    In: 19. Internationales Stuttgarter Symposium: Automobil- und Motorentechnik / 19. Internationales Stuttgarter Symposium: Automobil- und Motorentechnik; Stuttgart; 19 - 20. März 2019 / Bargende, Michael; Reuss, Hans-Christian; Wagner, Andreas; Wiedemann, Jochen (Eds.) 2019, pp. 471 - 484
  • Sieberg, Philipp Maximilian; Blume, Sebastian; Harnack, Nele; Maas, Niko; Schramm, Dieter
    Hybrid State Estimation Combining Artificial Neural Network and Physical Model
    In: The 2019 IEEE Intelligent Transportation Systems Conference - ITSC / IEEE Intelligent Transportation Systems Conference ; ITSC 2019 ; Auckland, New Zealand, 27-30 October 2019 2019, pp. 894 - 899
  • Blume, Sebastian; Sieberg, Philipp Maximilian; Maas, Niko; Schramm, Dieter
    Neural Roll Angle Estimation in a Model Predictive Control System
    In: The 2019 IEEE Intelligent Transportation Systems Conference: ITSC / 2019 IEEE Intelligent Transportation Systems Conference ; ITSC 2019 ; Auckland, New Zealand ; 27-30 October 2019 2019, pp. 1625 - 1630
  • Sieberg, Philipp; Blume, Sebastian; Reicherts, Sebastian; Schramm, Dieter
    Nichtlineare modellbasierte prädiktive Regelung der Fahrzeugdynamik in Bezug auf eine aktive Wankstabilisierung und eine Nickreduzierung
    In: 9. VDI/VDE-Fachtagung AUTOREG 2019: Regelungstechnik für automatisiertes Fahren und vernetzte Mobilität, Mannheim, 02. und 03. Juli 2019 / VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (Eds.) 2019, pp. 3 - 17
  • Sieberg, Philipp Maximilian; Blume, Sebastian; Reicherts, Sebastian; Schramm, Dieter
    Nichtlineare modellbasierte prädiktive Regelung der Fahrzeugdynamik in Bezug auf eine aktive Wankstabilisierung und eine Nickreduzierung
    In: Forschung im Ingenieurwesen Vol. 83 (2019) Nr. 2, pp. 119 - 127
  • Bahr, Matthias; Reicherts, Sebastian; Sieberg, Philipp Maximilian; Morss, Luca; Schramm, Dieter
    Development and validation of active roll control based on actor-critic neural network reinforcement learning
    In: Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications: Vol. 1 / International Conference on Simulation and Modeling Methodologies, Technologies and Applications ; SIMULTECH 2019 ; Prague, Czech Republic, 29 - 31 July 2019 / Obaidat, Mohammad; Ören, Tuncer; Szczerbicka, Helena (Eds.) 2019, pp. 36 - 46
  • Rahim, Lawan; Blume, Sebastian; Reicherts, Sebastian; Sieberg, Philipp; Schramm, Dieter
    Zustandsschätzung des Wankverhaltens von Personenkraftwagen mittels künstlicher neuronaler Netze
    In: Mobilität in Zeiten der Veränderung: Technische und betriebswirtschaftliche Aspekte / Mobility in Times of Change – Past - Present - Future ; Wissenschaftsforum Mobilität ; 07.06.2018, Duisburg / Proff, Heike (Eds.) 2019, pp. 229 - 239
  • 2018

  • Harnack, Nele; Reicherts, Sebastian; Sieberg, Philipp; Blume, Sebastian; Schramm, Dieter;
    Entwicklung und Validierung eines Simulationsmodells zur Abbildung der Gesamtfahrzeugdynamik mit Hilfe von LSTM-Zellen
    Wissenschaftsforum Mobilität ; Mobility in Times of Change - Past, Present, Future ; Universität Duisburg-Essen, 07.06.2018,
    (2018)
  • Sieberg, Philipp; Reicherts, Sebastian; Schramm, Dieter
    Nichtlineare modellbasierte prädiktive Regelung zur aktiven Wankstabilisierung von Personenkraftwagen
    In: Vierte IFToMM D-A-CH Konferenz 2018: Tagungsband / Vierte IFToMM D-A-CH Konferenz 2018, 15./16. Februar 2018, Lausanne, France / Universität Duisburg-Essen (Eds.) 2018, pp. 29 - 36