Daniel Baumann, M.Sc.

Daniel Baumann, M.Sc.

  • Engesserstr. 5

    76131 Karlsruhe

M. Sc. Daniel Baumann

Curriculum Vitae

  • Research associate at ITIV since March 2020
  • Master studies in electrical engineering and information technology with specialization in electromobility at KIT
    • Graduation in December 2019
    • Master thesis (ITIV): "Design and implementation of a reinforcement learning algorithm for the generation of test scenarios for highly automated driving"
  • Bachelor studies in electrical engineering and information technology at KIT.
    • Graduated in March 2017
    • Bachelor thesis (LTI): "Improvement of the thermal stability of organic solar cells using the crosslinker SP07".

Teaching

Publications


2023
Conference Papers
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
Book Chapters
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
Conference Papers
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
Conference Papers
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
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
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