Sebastian Huch

Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits

B. Lohmann, T. Herrmann, M. Lienkamp, 2022, ArXiv.

Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level

M. Lienkamp, Sebastian Huch, Luca Scalerandi, 2023, IEEE Transactions on Intelligent Vehicles.

DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles

Johannes Betz, Florian Sauerbeck, Sebastian Huch, 2023, 2023 IEEE Intelligent Vehicles Symposium (IV).

Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems

Johannes Betz, Phillip Karle, Dominik Kulmer, 2023, IEEE Access.

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge

B. Lohmann, T. Herrmann, M. Lienkamp, 2022, J. Field Robotics.

Multi-Task End-to-End Self-Driving Architecture for CAV Platoons

Markus Lienkamp, Aybike Ongel, Johannes Betz, 2021, Sensors.

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing

M. Lienkamp, Phillip Karle, Florian Sauerbeck, 2023, IEEE Transactions on Intelligent Vehicles.

EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application

K. Bengler, M. Lienkamp, F. Pfab, 2023, ArXiv.

Towards Minimizing the LiDAR Sim-to-Real Domain Shift: Object-Level Local Domain Adaptation for 3D Point Clouds of Autonomous Vehicles

Sebastian Huch, Markus Lienkamp, 2023, Sensors.