Daniel Baumann, M.Sc.
- Group: Prof. Sax
- Room: 225
CS 30.10 - Phone: +49 721 608-41303
- daniel baumann ∂does-not-exist.kit edu
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
- Tutor test of embedded systems in industrial environment ( https://www.itiv.kit.edu/60_6329.php)
- Supervision of the lecture Systems Engineering for Automotive Electronics (https://www.itiv.kit.edu/60_6076.php)
- Supervision of the lecture "Project Management in the Development of Products for Safety Critical Applications" (
(https://www.itiv.kit.edu/60_6337.php)
Publications
2024
Book Chapters
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
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
Conference Papers
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
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
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
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
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
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
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
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
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
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
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