Institut für Technik der Informationsverarbeitung (ITIV)
Martin Sommer, M.Sc.

Martin Sommer, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Martin Sommer


  • Studium Wirtschaftsingenieurwesen (2011-2018)
  • Mitarbeiter am ITIV seit September 2018



Betreuung des Praktikums Informationstechnik I
Betreuung der Vorlesung Projektmanagement in der Entwicklung von Produkten für sicherheitskritische Anwendungen


Betreute abgeschlossene studentische Arbeiten

  • MA: "Einsatz von Deep Learning Methoden zur Personenzählung
    im öffentlichen Nahverkehr; Use of Deep Learning Methods for People Counting in Public Transport"
  • MA: "Vergleich von Reinforcement Learning und Modellprädiktiver
    Regelung zur Klimaregelung in Elektrobussen; Comparison Between Reinforcement Learning and Model Predictive Control for Climate Control in Electric Buses"
  • MA: "Vorhersage von Störgrößen zur Verbesserung des Wärmemanagements von Elektrofahrzeugen; Predicting Disturbance Variables to Improve Thermal Management of Electric Vehicles"
  • BA: "Modellierung eines Fahrgastraummodells innerhalb einer Modellprädiktiven Klimaregelung für einen Elektrobus; Modelling of a Passenger Compartment Model within a Model Predictive Climate Control System for an Electric Bus;"
  • MA: "Entwicklung und Modellierung einer modellprädiktiven Klimaregelung für einen Elektrobus; Development and Modelling of a Model Prediktive Climate Control System for an Electric Bus;"
  • BA: "Knowledge Discovery in Databases: Entwicklung eines Algorithmus zur Berechnung  von Passagieraufkommen; Knowledge Discovery in Databases: Development of an Algorithm to Calculate Ridership Data"
  • MA: "A Distributed Platform Approach to Cooperative Perception Based on Cellular-V2X Communication"
  • MA: "A Reinforcement Learning Approach for Optimal Air Conditioning Control; Ein Ansatz des bestärkenden Lernens für eine optimale Klimaregelung;"


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
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
Evolutionary Algorithms to Generate Test Cases for Safety and IT-Security in Automotive Systems.
Lauber, A.; Sommer, M.; Fuchs, M.; Sax, E.
2020. Syscon 2020 - 14th Annual IEEE International Systems Conference, August 24-27, 2020, Institute of Electrical and Electronics Engineers (IEEE)
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
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
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