Marco Stang, M.Sc.

Marco Stang, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Marco Stang

  • Born in May 1987
  • Bachelor's degree in Electrical Engineering and Information Technology at KIT
    • Graduated in August 2011
    • Title of the bachelor thesis: Development of a report generator for the visualization of ECG data and activity data
  • Master's degree in Electrical Engineering and Information Technology at KIT
    • Completed in November 2015
    • Title of the Master's thesis: Demonstration of a continuous simulation coupling for driver assistance system development with combined programming environments and languages
  • 10/2015 - 12/2016 Research assistant at the FZI
  • Research associate at ITIV since January 2017


Supervised Student Theses

  • MA: "Adaptive adjustment of vehicle warning signals by camera-based monitoring of the driver;"
  • MA: "Reinforcement Learning for autonomous driving in the AirSim simulation environment; Reinforcement Learning for Autonomous Driving AirSim"
  • MA: "Intelligent Visual Inspection of Braiding Patterns Using Machine Learning to Recognize Defects; Intelligent Visual Inspection of Braiding Patterns Using Machine Learning to Recognize Defect"
  • BA: "Machine Learning for Spectral Reconstruction and Classification"
  • MA: "Application and validation of machine learning based on reinforcement learning for autonomous vehicles in a simulation environment;"
  • MA: "Video-Based Maneuver Recognition for an Enhanced Methodology to Evaluate Real Driving Emission Tests; Video-Based Maneuver Recognition for an Enhanced Methodology to Evaluate Real Driving Emission Tests"
  • BA: "Entwurf und Realisierung eines Systems zum Testen von maschinellen Lernverfahren auf Basis eines mobilen Fahrzeuges; Design and Implementation of a System for Testing Machine Learning Processes on the Basis of a Mobile Vehicle"
  • BA: "Conceptual Design and Modeling of an Electronic Architecture of a Demonstrator for Future Intelligent Vehicles; Conceptual Design and Modeling of an Electronic Architecture of a Demonstrator for Future Intelligent Vehicles"


Publications


2024
Conference Papers
Exploring Metamorphic Testing for Self-learning Functions with User Interactions
Stang, M.; Seidel, L.; Vučinić, V.; Sax, E.
2024. Human Interaction and Emerging Technologies (IHIET 2024), 195–206, AHFE International. doi:10.54941/ahfe1004569
USID - Unsupervised Identification of the Driver for Vehicle Comfort Functions
Vučinić, V.; Seidel, L.; Stang, M.; Sax, E.
2024. Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications, 142–152, AHFE International. doi:10.54941/ahfe1004564
2023
Conference Papers
Context-Aware Policy for Route Planning and Feasible Vehicle Technologies
Kraus, D.; Junk, C.; Stang, M.; Sax, E.
2023. 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 6 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IAVVC57316.2023.10328101
Unraveling Scenario-Based Behavior of a Self-Learning Function with User Interaction
Stang, M.; Schindewolf, M.; Sax, E.
2023. Human Interaction and Emerging Technologies (IHIET 2023): Artificial Intelligence and Future Applications. Ed.: T. Ahram, AHFE International. doi:10.54941/ahfe1004028
2022
Conference Papers
Development of a self-learning automotive comfort function: an adaptive gesture control with few-shot-learning
Stang, M.; Stock, S.; Müller, S.; Sax, E.; Stork, W.
2022. 2022 International Conference on Connected Vehicle and Expo (ICCVE), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVE52871.2022.9742989
2021
Book Chapters
CAGEN - Context-Action Generation for Testing Self-learning Functions
Stang, M.; Marquez, M. G.; Sax, E.
2021. Human Interaction, Emerging Technologies and Future Applications IV – Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2021), April 28-30, 2021, Strasbourg, France. Ed.: T. Ahram, 12–19, Springer International Publishing. doi:10.1007/978-3-030-74009-2_2
Acceptance of Smart Automated Comfort Functionalities in Vehicles
Guinea, M.; Stang, M.; Nitsche, I.; Sax, E.
2021. Human Interaction, Emerging Technologies and Future Applications IV – Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2021), April 28-30, 2021, Strasbourg, France. Ed.: T. Ahram, 331–338, Springer International Publishing. doi:10.1007/978-3-030-74009-2_42
Journal Articles
Context-aware Security for Vehicles and Fleets: A Survey
Grimm, D.; Stang, M.; Sax, E.
2021. IEEE Access, 9, 101809–101846. doi:10.1109/ACCESS.2021.3097146
Conference Papers
Introduction of an Algorithm Based on Convolutional Neural Networks for an Automated Online Correction of Braided Cardiovascular Implants
Haas, B.; Stang, M.; Khan-Blouki, V.; Sax, E.
2021. Human Interaction, Emerging Technologies and Future Applications IV. Ed.: T. Ahram, 28–36, Springer International Publishing. doi:10.1007/978-3-030-74009-2_4
Audio & Video
K-Means-Clustering
Molinar, G.; Stang, M.
2021. doi:10.5445/IR/1000139095
2020
Book Chapters
Adaptive Customized Forward Collision Warning System Through Driver Monitoring
Stang, M.; Sommer, M.; Baumann, D.; Zijia, Y.; Sax, E.
2020. Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2. Ed.: K. Arai, 757–772, Springer International Publishing. doi:10.1007/978-3-030-63089-8_50
Conference Papers
Evaluation of Deep Reinforcement Learning Algorithms for Autonomous Driving
Stang, M.; Grimm, D.; Gaiser, M.; Sax, E.
2020. 2020 IEEE Intelligent Vehicles Symposium (IV), 19 October - 13 November 2020, online, 1576–1582, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IV47402.2020.9304792
QUA³CK - A Machine Learning Development Process
Stock, S. C.; Becker, J.; Grimm, D.; Hotfilter, T.; Molinar, G.; Stang, M.; Stork, W.
2020. Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019), 026, Scuola Internazionale Superiore di Studi Avanzati (SISSA). doi:10.22323/1.372.0026
TalkyCars: A Distributed Software Platform for Cooperative Perception among Connected Autonomous Vehicles based on Cellular-V2X Communication
Sommer, M.; Stang, M.; Muetsch. Ferdinand; Sax, E.
2020. IEEE Intelligent Vehicles Symposium, October 19 - November 13, 2020, (Virtual) Las Vegas, NV
FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback
Stock, S.; Bertemes, A.; Stang, M.; Böhme, M.; Grimm, D.; Stork, W.
2020. Human Interaction, Emerging Technologies and Future Applications II : Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2020), April 23-25, 2020, Lausanne, Switzerland. Ed.: T. Ahram, 349–355, Springer. doi:10.1007/978-3-030-44267-5_52
An Evolutionary Approach to Hyper-Parameter Optimization of Neural Networks
Stang, M.; Meier, C.; Rau, V.; Sax, E.
2020. Human Interaction and Emerging Technologies. Ed.: T. Ahram, 713–718, Springer International Publishing. doi:10.1007/978-3-030-25629-6_111
Using Machine Learning to Optimize Energy Consumption of HVAC Systems in Vehicles
Böhme, M.; Lauber, A.; Stang, M.; Pan, L.; Sax, E.
2020. Human Interaction and Emerging Technologies. Ed.: T. Ahram, 706–712, Springer International Publishing. doi:10.1007/978-3-030-25629-6_110
2019
Conference Papers
Applied Machine Learning: Reconstruction of Spectral Data for the Classification of Oil-Quality Levels
Stang, M.; Böhme, M.; Sax, E.
2019. 5th International Conference on Research in Engineering, Technology and Science (ICRETS 2019), Lissabon, P, February 3-7, 2019, 1–13, ISRES Publishing
Presentations
The QUA³CK Machine Learning Development Process and the Laboratory for Applied Machine Learning Approaches (LAMA)
Becker, J.; Grimm, D.; Hotfilter, T.; Meier, C.; Molinar, G.; Stang, M.; Stock, S.; Stork, W.
2019, October 22. Symposium Artificial Intelligence for Science, Industry and Society (AISIS 2019), Mexico City, Mexico, October 20–December 25, 2019