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2020 – today
- 2025
[j3]Nicolas Baumann
, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno:
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction. IEEE Robotics Autom. Lett. 10(2): 1816-1823 (2025)- [j2]Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno:
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute. IEEE Robotics Autom. Lett. 10(2): 1984-1991 (2025) - [i9]Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno:
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms. CoRR abs/2501.17311 (2025) - 2024
- [c4]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. DATE 2024: 1-2 - [c3]Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno:
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. IROS 2024: 4926-4933 - [i8]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. CoRR abs/2401.07658 (2024) - [i7]Nicolas Baumann, Edoardo Ghignone, Jonas Kühne, Niklas Bastuck, Jonathan Becker, Nadine Imholz, Tobias Kränzlin, Tian Yi Lim, Michael Lötscher, Luca Schwarzenbach, Luca Tognoni, Christian Vogt, Andrea Carron, Michele Magno:
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware. CoRR abs/2403.11784 (2024) - [i6]Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno:
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. CoRR abs/2403.15313 (2024) - [i5]Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno:
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction. CoRR abs/2410.04868 (2024) - [i4]Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno:
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute. CoRR abs/2411.17508 (2024) - 2023
- [j1]Edoardo Ghignone, Nicolas Baumann, Michele Magno:
TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing. Field Robotics 3(1): 637-651 (2023) - [c2]Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. ICRA 2023: 5276-5283 - [c1]Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno:
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study. WF-IoT 2023: 1-6 - [i3]Michael Loetscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno:
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study. CoRR abs/2309.10504 (2023) - 2022
- [i2]Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno:
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach. CoRR abs/2205.09370 (2022) - [i1]Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. CoRR abs/2209.04346 (2022)
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last updated on 2025-03-04 21:18 CET by the dblp team
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