Daniel Baumann, M.Sc.

Daniel Baumann, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Daniel Baumann

Lebenslauf

  • Wissenschaftlicher Mitarbeiter am ITIV seit März 2020
  • Master-Studium der Elektro- und Informationstechnik mit der Vertiefungsrichtung Elektromobilität am KIT
    • Abschluss im Dezember 2019
    • Masterarbeit (ITIV): "Entwurf und Implementierung eines Reinforcement Learning Algorithmus für die Generierung von Testszenarien für das hochautomatisierte Fahren"
  • Bachelor-Studium der Elektro- und Informationstechnik am KIT
    • Abschluss im März 2017
    • Bachelorarbeit (LTI): "Verbesserung der thermischen Stabilität von organischen Solarzellen mit Hilfe des Crosslinkers SP07"

Lehre

HiWi Stellen
Titel

Publikationen


2024
Buchaufsätze
Process for the Identification of Vehicle Functions for Cloud Offloading
Sommer, M.; Baumann, D.; Rösch, T.; Dettinger, F.; Sax, E.; Weyrich, M.
2024. Intelligent Computing : Proceedings of the 2024 Computing Conference, Volume 2, 596–608, Springer Nature Switzerland. doi:10.1007/978-3-031-62277-9_38
Proceedingsbeiträge
Total Cost of Ownership: Cloud-based vs. Onboard Vehicle Software Components
Baumann, D.; Sommer, M.; Sax, E.; Dettinger, F.; Weyrich, M.
2024. The 1st International Conference on Systems Scalability and Expandability, 6 S., International Academy, Research, and Industry Association (IARIA)
Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials
Raghuraman, S.; Baumann, D.; Schindewolf, M.; Sax, E.
2024. Proceedings of the 13th International Conference on Data Science, Technology and Applications- Volume 1, Dijon, 9th-11th July 2024, 330–337, SciTePress. doi:10.5220/0012758700003756
Connected Vehicle: Ontology, Taxonomy and Use Cases
Baumann, D.; Sommer, M.; Dettinger, F.; Rösch, T.; Weyrich, M.; Sax, E.
2024. 2024 IEEE International Systems Conference (SysCon), Montreal, 15th - 18th April 2024, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SysCon61195.2024.10553586
2023
Proceedingsbeiträge
Introducing L-Shaping for a Streamlined Lidar-Based Perception in Urban Platooning
Baumann, D.; Kraus, D.; Kechler, N.; Fiedler, L.; Sax, E.; Venkatesh, N.
2023. 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), Austin Tx, 16th-18 October 2023, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IAVVC57316.2023.10328037
Multi-layer Approach for Energy Consumption Optimization in Electric Buses
Rösch, T.; Raghuraman, S.; Sommer, M.; Junk, C.; Baumann, D.; Sax, E.
2023. 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VTC2023-Spring57618.2023.10199518
2022
Buchaufsätze
Differential Correlation Approach for Multivariate Time Series Feature Selection
Pistorius, F.; Baumann, D.; Sax, E.
2022. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. Hrsg.: Kohei Arai, 928–942, Springer International Publishing. doi:10.1007/978-3-030-89906-6_59
Proceedingsbeiträge
Use of Deep Learning Methods for People Counting in Public Transport
Baumann, D.; Sommer, M.; Schrempp, Y.; Sax, E.
2022. 2022 International Conference on Connected Vehicle and Expo (ICCVE), Lakeland, FL, March 7-9, 2022, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVE52871.2022.9742924
2021
Proceedingsbeiträge
Automatic Generation of Critical Test Cases for the Development of Highly Automated Driving Functions
Baumann, D.; Pfeffer, R.; Sax, E.
2021. 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 5 S., Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VTC2021-Spring51267.2021.9448686
2020
Buchaufsätze
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
Proceedingsbeiträge
Intuitive Time-Series-Analysis-Toolbox for Inexperienced Data Scientists
Pistorius, F.; Baumann, D.; Seidel, L.; Sax, E.
2020. 2020 International Conference on Computational Science and Computational Intelligence (CSCI) : 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, Las Vegas, 16 December 2020 - 18 December 2020, 401–406. doi:10.1109/CSCI51800.2020.00075