Florian Sauerbeck

According to our database, Florian Sauerbeck authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap.

Maximilian Leitenstern, Florian Sauerbeck, Dominik Kulmer, Johannes Betz

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

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

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

RACECAR - The Dataset for High-Speed Autonomous Racing.

Amar Kulkarni, John Chrosniak, Emory Ducote, Florian Sauerbeck, Andrew Saba, Utkarsh Chirimar, John Link, Madhur Behl, Marcello Cellina

IROS, 2023

Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving.

Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps.

Florian Sauerbeck, Benjamin Obermeier, Martin Rudolph, Johannes Betz

CoRR, 2022

Teaching Autonomous Systems Hands-On: Leveraging Modular Small-Scale Hardware in the Robotics Classroom.

Johannes Betz, Hongrui Zheng, Zirui Zang, Florian Sauerbeck, Krzysztof Walas, Velin Dimitrov, Madhur Behl, Rosa Zheng, Joydeep Biswas, Venkat Krovi, Rahul Mangharam

CoRR, 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