Fabian Schmidt
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PhD Student | |
| Postal address: |
Hochschule Esslingen |
|
| Office: | External | |
| Email: |
fabian.schmidt@hs-esslingen.de |
|
About me
- 09/2023 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg and Institute for Intelligent Systems, Esslingen University of Applied Sciences
- 09/2020 - 02/2023: M.Sc. in Applied Computer Science, Esslingen University of Applied Sciences
- 09/2016 - 08/2020: B.Eng. in Electrical Engineering and Management, Konstanz University of Applied Sciences
Research Interests
- Visual SLAM
- Autonomous Driving
Current Research Projects
- Visual SLAM in Unstructured Outdoor Environments
- Vision-Language-Action Models for Autonomous Driving
Publications
2024
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Fabian Schmidt,
Markus Enzweiler,
Abhinav Valada,
NeRF and Gaussian Splatting SLAM in the Wild
arXiv preprint arXiv:2412.03263, 2024.
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Fabian Schmidt,
Constantin Blessing,
Markus Enzweiler,
Abhinav Valada,
ROVER: A Multi-Season Dataset for Visual SLAM
arXiv preprint arXiv:2412.02506, 2024.
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Fabian Schmidt,
Constantin Blessing,
Markus Enzweiler,
Abhinav Valada,
Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing
arXiv preprint arXiv:2408.01716, 2024.
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Sabrina Kaniewski,
Dieter Holstein,
Fabian Schmidt,
Tobias Heer,
Vulnerability Handling of AI-Generated Code - Existing Solutions and Open Challenges
IEEE Conference on AI, Science, Engineering, and Technology (AIxSET), 2024.
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Fabian Schmidt,
Frank Holzmüller,
Manuel Kaiser,
Constantin Blessing,
Markus Enzweiler,
Inverstigating the Impact of Loop Closing on Visual SLAM Localization Accuracy in Agricultural Applications
Advances in Signal Processing and Artificial Intelligence (ASPAI), 2024.
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2023
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Dimitrios Lagamtzis,
Fabian Schmidt,
Jan Seyler,
Thao Dang,
Steffen Schober,
Graph Neural Networks for Joint Action Recognition, Prediction and Motion Forecasting for Industrial Human-Robot Collaboration
International Symposium on Robotics, 2023.
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Dimitrios Lagamtzis,
Fabian Schmidt,
Jan Seyler,
Thao Dang,
Steffen Schober,
Exploiting Spatio-Temporal Human-Object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023.
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2022
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Dimitrios Lagamtzis,
Fabian Schmidt,
Jan Seyler,
Thao Dang,
CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace.
International Conference on Agents and Articifial Intelligence (ICAART), 2022.
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