| Titel | BA | SA | MA | HW | exp | the | kon | Eintrag |
|---|---|---|---|---|---|---|---|---|
| Multimodal Sensor Calibration for Autonomous Driving Applications | 2023-05-08 | |||||||
| High-Level Fusion for Object Detection with Deep Neural Networks in Autonomous Driving Applications | 2023-05-08 |
Felix Fent, M.Sc.
| felix.fent(at)tum.de | |
| Raum | MW 3508 |
| Telefon | +49.89.289.15347 |
| Fax | +49.89.289.15357 |
| ResearchGate | ORCID |
Aktivitäten
Vorlesung: Rennsporttechnik
Studienarbeiten
Veröffentlichungen
2023
- TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. Journal of Field Robotics, 2023 mehr…
- RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, 2023 mehr…
- Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. IEEE Access 11, 2023, 44034-44050 mehr…
2022
- Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. In: Proceedings. Springer Berlin Heidelberg, 2022 mehr…
2021
- Kernel Point Convolution LSTM Networks for Radar Point Cloud Segmentation. Applied Sciences 11 (6), 2021, 2599 mehr…