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Nicolas Baumann
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2020 – today
- 2024
- [c8]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. DATE 2024: 1-2 - [i10]Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno:
Robustness Evaluation of Localization Techniques for Autonomous Racing. CoRR abs/2401.07658 (2024) - [i9]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) - [i8]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) - [i7]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) - [i6]Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno:
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units. CoRR abs/2410.16769 (2024) - 2023
- [j3]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) - [c7]Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno:
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture. I2MTC 2023: 1-6 - [c6]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 - [c5]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. SENSORS 2023: 1-4 - [c4]Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno:
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. IWASI 2023: 21-26 - [c3]Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno:
A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation. SAS 2023: 1-6 - [c2]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 - [i5]Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno:
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. CoRR abs/2309.01647 (2023) - [i4]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) - [i3]Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno:
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. CoRR abs/2311.07163 (2023) - 2022
- [j2]Marco Giordano, Nicolas Baumann, Michele Crabolu, Raphael Fischer, Giovanni Bellusci, Michele Magno:
Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring. IEEE Trans. Instrum. Meas. 71: 1-11 (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) - 2020
- [j1]Nicolas Baumann, Michael Ganz, Michele Magno:
Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime. IEEE Trans. Instrum. Meas. 69(4): 1445-1454 (2020)
2010 – 2019
- 2019
- [c1]Tim Fischer, Michael Ganz, Nicolas Baumann, Michele Magno:
Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime. SAS 2019: 1-6
Coauthor Index
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