Zur Zeit gibt es keine Einträge.
Florian Sauerbeck, M.Sc.
| florian.sauerbeck@tum.de | |
| Raum | MW 3508 |
| Telefon | +49.89.289.15342 |
| Fax | +49.89.289.15357 |
Studienarbeiten
Bei Interesse an den Themen Lokalisierung autonomer Fahrzeuge, SLAM, Sensorfusion, oder autonome Modellfahrzeuge können Sie sich gerne auch initiativ für eine Studienarbeit bewerben.
Veröffentlichungen
2023
- TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. Journal of Field Robotics, 2023 mehr…
- DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. 2023 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2023 mehr…
- CamRaDepth: Semantic Guided Depth Estimation Using Monocular Camera and Sparse Radar for Automotive Perception. IEEE Sensors Journal 23 (22), 2023, 28442-28453 mehr…
- Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. IEEE Access 11, 2023, 44034-44050 mehr…
- RGB-L: Enhancing Indirect Visual SLAM Using LiDAR-Based Dense Depth Maps. 2023 3rd International Conference on Computer, Control and Robotics (ICCCR), IEEE, 2023 mehr…
2022
- Continuous Control of Autonomous Vehicles using Plan-assisted Deep Reinforcement Learning. 2022 22nd International Conference on Control, Automation and Systems (ICCAS), IEEE, 2022 mehr…
- Optimization-Based Real-Time-Capable Energy Strategy for Autonomous Electric Race Cars. SAE International Journal of Connected and Automated Vehicles 5 (1), 2022 mehr…
- A Combined LiDAR-Camera Localization for Autonomous Race Cars. SAE International Journal of Connected and Automated Vehicles 5 (1), 2022 mehr…
- Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. In: Proceedings. Springer Berlin Heidelberg, 2022 mehr…