Luca Seidel, M. Sc.
- Wissenschaftlicher Mitarbeiter
- Group: Sax
- Room: 115
CS 30.10 - Phone: +49 721 608-45282
- luca seidel ∂does-not-exist.kit edu
- Engesserstraße 5
76131 Karlsruhe
M. Sc. Luca Seidel
Curriculum Vitae
- Research associate at ITIV since February 2023
- Master studies in Electrical Engineering and Information Technology with specialization in Systems Engineering at KIT
- Graduation in November 2022
- Master thesis (ITIV): "Conceptual design and evaluation of a machine learning based relative position determination for platooning vehicles".
- Bachelor studies in electrical engineering and information technology at KIT
- Graduation in July 2020
- Bachelor thesis (ITIV): "Conceptual design and evaluation of a user-friendly Knowledge Discovery in Databases process toolbox".
Teaching
- Supervision of the Software Engineering internship(https://www.itiv.kit.edu/60_6075.php)
Titel | Typ | Datum |
---|---|---|
Benchmarking von uni- und multivariater Machine Learning Klassifikationsverfahren für Zeitserien | Bachelorarbeit | ab 06 / 2023 |
Design of an information fusion for semantic segmentation of LiDAR point clouds in an urban context. | Masterarbeit | ab 04 / 2023 |
Investigation of semantic LiDAR point cloud segmentation in an urban context. | Bachelorarbeit | ab 04 / 2023 |
Title |
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Development of a testbench for testing and evaluation of perception algorithms |
Publications
2020
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