Nicolas Baumann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Position Estimation

Autonomous Vehicles

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno
Robustness Evaluation of Localization Techniques for Autonomous Racing. CoRR (2024)
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 (2024)
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 (2024)
Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno
Robustness Evaluation of Localization Techniques for Autonomous Racing. DATE (2024)
Edoardo Ghignone, Nicolas Baumann, Michele Magno
TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing. Field Robotics 3 (1) (2023)
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)
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. CoRR (2023)
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)
Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno
A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation. SAS (2023)
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)
Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar. CoRR (2023)
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 (2023)
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications. SENSORS (2023)
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)
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 (2022)
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing. CoRR (2022)
Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach. CoRR (2022)
Nicolas Baumann, Michael Ganz, Michele Magno
Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime. IEEE Trans. Instrum. Meas. 69 (4) (2020)
Tim Fischer, Michael Ganz, Nicolas Baumann, Michele Magno
Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime. SAS (2019)