Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions. (Advances in Neural Information Processing Systems, 2024)
- DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection. (IEEE Transactions on Intelligent Vehicles, 2024)
- Evaluating Pedestrian Trajectory Prediction Methods With Respect to Autonomous Driving. (IEEE Transactions on Intelligent Transportation Systems, 2024)
- TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. (Journal of Field Robotics, 2023)
- RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception. (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023)
- Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. (IEEE Access, 2023)
Research Experience
- March 2021 - present: Multimodal Object Detection
- March 2021 - June 2024: Autonomous Innovation in the Terminal Process
- November 2021 - January 2022: Autonomous Challenge at CES
- March 2021 - October 2021: Indy Automonous Challenge
Education
No specific educational background information provided.
Background
Research interests include autonomous driving technology, multimodal object detection, and artificial intelligence applications in automotive technology.