Multi-Task End-to-End Self-Driving Architecture for CAV Platoons. - Sebastian Huch; Aybike Ongel; Johannes Betz; Markus Lienkamp (Sensors, 2021)

Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. - Alexander Wischnewski; Maximilian Geisslinger; Johannes Betz; Tobias Betz; Felix Fent; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Felix Nobis; Levent Ögretmen; et al. (CoRR, 2022)

DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles. - Sebastian Huch; Florian Sauerbeck; Johannes Betz (IV, 2023)

Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. - Florian Sauerbeck; Sebastian Huch; Felix Fent; Phillip Karle; Dominik Kulmer; Johannes Betz (IEEE Access, 2023)

EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. - Phillip Karle; Tobias Betz; Marcin Bosk; Felix Fent; Nils Gehrke; Maximilian Geisslinger; Luis Gressenbuch; Philipp Hafemann; Sebastian Huber; Maximilian Hübner; Sebastian Huch; Gemb Kaljavesi; et al. (CoRR, 2023)

Quantifying the LiDAR Sim-to-Real Domain Shift: A Detailed Investigation Using Object Detectors and Analyzing Point Clouds at Target-Level. - Sebastian Huch; Luca Scalerandi; Esteban Rivera; Markus Lienkamp (IEEE Trans. Intell. Veh., 2023)

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. - Johannes Betz; Tobias Betz; Felix Fent; Maximilian Geisslinger; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Markus Lienkamp; Boris Lohmann; Felix Nobis; et al. (J. Field Robotics, 2023)

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing. - Phillip Karle; Felix Fent; Sebastian Huch; Florian Sauerbeck; Markus Lienkamp (IEEE Trans. Intell. Veh., 2023)

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 (Sensors, 2023)