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2020 – today
- 2024
[j4]Nico Uhlemann
, Felix Fent, Markus Lienkamp:
Evaluating Pedestrian Trajectory Prediction Methods With Respect to Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(10): 13937-13946 (2024)- [i9]Felix Fent, Andras Palffy, Holger Caesar:
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection. CoRR abs/2404.03015 (2024) - [i8]Ilir Tahiraj, Felix Fent, Philipp Hafemann, Egon Ye, Markus Lienkamp:
GMMCalib: Extrinsic Calibration of LiDAR Sensors using GMM-based Joint Registration. CoRR abs/2404.03427 (2024) - [i7]Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, Stefan Juergens, Lorenz Lechermann, Christian Nissler, Andrea Perl, Ulrich Voll, Min Yan, Markus Lienkamp:
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions. CoRR abs/2407.07462 (2024) - 2023
- [j3]Florian Sauerbeck, Sebastian Huch, Felix Fent, Phillip Karle, Dominik Kulmer, Johannes Betz:
Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. IEEE Access 11: 44034-44050 (2023) - [j2]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:
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. J. Field Robotics 40(4): 783-809 (2023) - [j1]Phillip Karle, Felix Fent, Sebastian Huch, Florian Sauerbeck, Markus Lienkamp:
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing. IEEE Trans. Intell. Veh. 8(7): 3871-3883 (2023) - [c1]Felix Fent, Philipp Bauerschmidt, Markus Lienkamp:
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception. CVPR Workshops 2023: 182-191 - [i6]Felix Fent, Philipp Bauerschmidt, Markus Lienkamp:
RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception. CoRR abs/2304.06547 (2023) - [i5]Nico Uhlemann, Felix Fent, Markus Lienkamp:
Evaluating Pedestrian Trajectory Prediction Methods for the Application in Autonomous Driving. CoRR abs/2308.05194 (2023) - [i4]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:
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. CoRR abs/2309.15492 (2023) - [i3]Phillip Karle, Felix Fent, Sebastian Huch, Florian Sauerbeck, Markus Lienkamp:
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing. CoRR abs/2310.08114 (2023) - 2022
- [i2]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:
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. CoRR abs/2202.03807 (2022) - [i1]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:
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge. CoRR abs/2205.15979 (2022)
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