Tum autonomous motorsport: An autonomous racing software for the indy autonomous challenge J Betz, T Betz, F Fent, M Geisslinger, A Heilmeier, L Hermansdorfer, ... Journal of Field Robotics 40 (4), 783-809, 2023 | 53 | 2023 |
Indy autonomous challenge-autonomous race cars at the handling limits A Wischnewski, M Geisslinger, J Betz, T Betz, F Fent, A Heilmeier, ... 12th International Munich Chassis Symposium 2021: chassis. tech plus, 163-182, 2022 | 50 | 2022 |
Benchmarking and functional decomposition of automotive lidar sensor models P Rosenberger, M Holder, S Huch, H Winner, T Fleck, MR Zofka, ... 2019 IEEE Intelligent Vehicles Symposium (IV), 632-639, 2019 | 33 | 2019 |
Multi-modal sensor fusion and object tracking for autonomous racing P Karle, F Fent, S Huch, F Sauerbeck, M Lienkamp IEEE Transactions on Intelligent Vehicles 8 (7), 3871-3883, 2023 | 16 | 2023 |
Quantifying the lidar sim-to-real domain shift: A detailed investigation using object detectors and analyzing point clouds at target-level S Huch, L Scalerandi, E Rivera, M Lienkamp IEEE Transactions on Intelligent Vehicles 8 (4), 2970-2982, 2023 | 15 | 2023 |
EDGAR: An Autonomous Driving Research Platform--From Feature Development to Real-World Application P Karle, T Betz, M Bosk, F Fent, N Gehrke, M Geisslinger, L Gressenbuch, ... arXiv preprint arXiv:2309.15492, 2023 | 13 | 2023 |
Multi-task end-to-end self-driving architecture for CAV platoons S Huch, A Ongel, J Betz, M Lienkamp Sensors 21 (4), 1039, 2021 | 13 | 2021 |
Learn to see fast: Lessons learned from autonomous racing on how to develop perception systems F Sauerbeck, S Huch, F Fent, P Karle, D Kulmer, J Betz IEEE Access 11, 44034-44050, 2023 | 5 | 2023 |
DeepSTEP-Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles S Huch, F Sauerbeck, J Betz 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 3 | 2023 |
Towards Minimizing the LiDAR Sim-to-Real Domain Shift: Object-Level Local Domain Adaptation for 3D Point Clouds of Autonomous Vehicles S Huch, M Lienkamp Sensors 23 (24), 9913, 2023 | 2 | 2023 |
Entwicklung einer umfassenden Metrik für die Bewertung einer Lidar-Sensor-Simulation durch Betrachtung mehrerer aufeinander folgender Verarbeitungsebenen S Huch Technische Universität Darmstadt, 2018 | 2 | 2018 |
S2R-DAD: Sim-to-Real Distribution-Aligned Dataset S Huch, L Scalerandi, E Rivera, M Lienkamp https://doi.org/10.14459/2023mp1695833, 2023 | | 2023 |