Research Staff: Christian Hürten, M.Sc.
Christian Hürten, M.Sc. Room: MD-227 Phone: +49 (0)203 379-1659 Telefax: +49 (0)203 379-4143 E-Mail: christian.huerten@uni-due.de |
Research Profile
- Machine learning
- Automation in inland navigation
- Remote control in inland navigation
Working Title of the Dissertation
Application of transfer learning methods to the modeling of vehicle dynamics
Theses
- Bachelor's thesis: "Development and validation of a multi-variable neuro-fuzzy controller for active roll stabilization"
- Master's thesis: "Development and validation of a method for determining the required model complexity for the design of driver assistance systems based on machine learning methods"
Awards and Scholarships
- Award for outstanding degree in the Master's program in Mechanical Engineering, Faculty of Engineering at the University of Duisburg-Essen
- First prize for outstanding bachelor thesis 2019, Alumni Lehrstuhl für Mechatronik e.V. of the University of Duisburg-Essen
Current Research Projects
FernBin - Remote-controlled, coordinated driving in inland navigation
Reviewer Activities & Committee Work
Institute Work
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Toward Autonomous Vehicles and Systems : Potentials and Challenges of Artificial IntelligenceIn: Autonomous Vehicles and Systems: A Technological and Societal Perspective / Sethi, Ishwar K. (Eds.) 2024, pp. 49 - 81Online Full Text: dx.doi.org/
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Methoden des maschinellen Lernens als Notfallstrategie nach Seilrissen bei parallelen SeilroboternIn: Zehnte IFToMM D-A-CH Konferenz 2024: 05./06. März 2024, Universität Rostock / 10. IFToMM D-A-CH Konferenz, 5.-6.03.2024, Rostock / Universitätsbibliothek Duisburg-Essen (Eds.) 2024Online Full Text: dx.doi.org/ Online Full Text (Open Access)
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Concept of an Alert Management System for Remote-Controlled Inland Shipping VesselsIn: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC): Proceedings / 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 24-28 Sept. 2023, Bilbao, Bizkaia, Spain / Institute of Electrical and Electronics Engineers (Eds.) 2023, pp. 5889 - 5894Online Full Text: dx.doi.org/
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Self-evaluation of automated vehicles based on physics, state-of-the-art motion prediction and user experienceIn: Scientific Reports Vol. 13 (2023) Nr. 1, 12692Online Full Text: dx.doi.org/ (Open Access)
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Template for Preparation of Papers for IEEE Sponsored Conferences & SymposiaIn: 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 - 1553Online Full Text: dx.doi.org/
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Determining Required Simulation Model Fidelity for Developing an Advanced Driver Assistance System for Automated Lane Change Decision MakingIn: Proceedings of the AmE 2022 - Automotive meets Electronics / 13. GMM-Symposium, 29.-30. September 2022, Dortmund, Germany 2022, pp. 13 - 18
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Concept of a Teleoperation System for Inland Shipping VesselsIn: Proceedings of the 25th International Conference on Intelligent Transportation Systems, Proceedings (ITSC 2022) / 25th International Conference on Intelligent Transportation Systems, (ITSC 2022): 08-12 October 2022; Macau, China / Institute of Electrical and Electronics Engineers (IEEE) (Eds.) 2022, pp. 349 - 354Online Full Text: dx.doi.org/
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Generating a Multi-fidelity Simulation Model Estimating the Models’ Applicability with Machine Learning AlgorithmsIn: 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 - 141Online Full Text: dx.doi.org/
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From Real to Virtual Environment : Integration of Publicly Available Geodata into a Simulation EnvironmentIn: 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(Open Access)
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Representation of an Integrated Non-Linear Model-Based Predictive Vehicle Dynamics Control System by a Co-Active Neuro-Fuzzy Inference SystemIn: Proceedings of the IEEE 31st IEEE Symposium on Intelligent Vehicle / IV2020, 19. October - 13. November 2020, (Virtual) Las Vegas, USA 2020, pp. 572 - 577Online Full Text: dx.doi.org/
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2023
2022
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2020
Current lectures
No current lectures.
Past lectures (max. 10)
No past lectures.