Sebastian Huch

According to our database, Sebastian Huch authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 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., July, 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, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski

J. Field Robotics, June, 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., April, 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, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer, Jörg Ott, Markus Lienkamp

CoRR, 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

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

Sebastian Huch, Florian Sauerbeck, Johannes Betz

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

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, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann

CoRR, 2022

2021

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

Sebastian Huch, Aybike Ongel, Johannes Betz, Markus Lienkamp

Sensors, 2021