Nicolas Baumann

44 papers A* 2A 4B 2C 1Journal 30Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing.
IWASI
Luca Tognoni, Neil Reichlin, Edoardo Ghignone, Nicolas Baumann, Steven Marty, Liam Boyle, Michele Magno
2025 J jnl
DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing.
CoRR
Luca Tognoni, Neil Reichlin, Edoardo Ghignone, Nicolas Baumann, Steven Marty, Liam Boyle, Michele Magno
2025 J jnl
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing.
CoRR
Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno
2025 J jnl
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models.
CoRR
Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam, Haotong Qin, Lei Xie, Michele Magno, Luca Benini
2025 A conf
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions.
IROS
Cheng Hu, Jihao Huang, Wule Mao, Yonghao Fu, Xuemin Chi, Haotong Qin, Nicolas Baumann, Zhitao Liu, Michele Magno, Lei Xie
2025 J jnl
FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions.
CoRR
Cheng Hu, Jihao Huang, Wule Mao, Yonghao Fu, Xuemin Chi, Haotong Qin, Nicolas Baumann, Zhitao Liu, Michele Magno, Lei Xie
2025 J jnl
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial Off-the-Shelf Hardware.
J. Field Robotics
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
2025 C conf
GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR.
ACC
Yangyang Xie, Cheng Hu, Nicolas Baumann, Edoardo Ghignone, Michele Magno, Lei Xie
2025 J jnl
GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR.
CoRR
Yangyang Xie, Cheng Hu, Nicolas Baumann, Edoardo Ghignone, Michele Magno, Lei Xie
2025 J jnl
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
IEEE Robotics Autom. Lett.
Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno
2025 A conf
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing.
IROS
Nadine Imholz, Maurice Brunner, Nicolas Baumann, Edoardo Ghignone, Michele Magno
2025 J jnl
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing.
CoRR
Nadine Imholz, Maurice Brunner, Nicolas Baumann, Edoardo Ghignone, Michele Magno
2025 J jnl
MCTR: Midpoint Corrected Triangulation for Autonomous Racing via Digital Twin Simulation in CARLA.
CoRR
Junhao Ye, Cheng Hu, Yiqin Wang, Weizhan Huang, Nicolas Baumann, Jie He, Meixun Qu, Lei Xie, Hongye Su
2025 J jnl
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow.
CoRR
Liam Boyle, Jonas Kühne, Nicolas Baumann, Niklas Bastuck, Michele Magno
2025 J jnl
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow.
IEEE Robotics Autom. Lett.
Liam Boyle, Jonas Kühne, Nicolas Baumann, Niklas Bastuck, Michele Magno
2025 J jnl
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
IEEE Robotics Autom. Lett.
Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno
2025 J jnl
R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing.
CoRR
Maurice Brunner, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2025 A* conf
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
ICRA
Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno
2025 J jnl
RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.
CoRR
Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno
2025 J jnl
RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning.
CoRR
Liam Boyle, Nicolas Baumann, Paviththiren Sivasothilingam, Michele Magno, Luca Benini
2025 J jnl
TinyCenterSpeed: Efficient Center-Based Object Detection for Autonomous Racing.
CoRR
Neil Reichlin, Nicolas Baumann, Edoardo Ghignone, Michele Magno
2024 A conf
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking.
IROS
Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno
2024 J jnl
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking.
CoRR
Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno
2024 J jnl
DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units.
CoRR
Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno
2024 J jnl
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.
CoRR
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
2024 J jnl
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
CoRR
Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno
2024 J jnl
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
CoRR
Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno
2024 A conf
Robustness Evaluation of Localization Techniques for Autonomous Racing.
DATE
Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2024 J jnl
Robustness Evaluation of Localization Techniques for Autonomous Racing.
CoRR
Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2023 B conf
A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation.
SAS
Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno
2023 — conf
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.
WF-IoT
Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno
2023 J jnl
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.
CoRR
Michael Loetscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno
2023 — conf
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
SENSORS
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
2023 J jnl
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
CoRR
Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno
2023 — conf
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture.
I2MTC
Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno
2023 A* conf
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing.
ICRA
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2023 J jnl
TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing.
Field Robotics
Edoardo Ghignone, Nicolas Baumann, Michele Magno
2023 — conf
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.
IWASI
Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno
2023 J jnl
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.
CoRR
Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno
2022 J jnl
Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring.
IEEE Trans. Instrum. Meas.
Marco Giordano, Nicolas Baumann, Michele Crabolu, Raphael Fischer, Giovanni Bellusci, Michele Magno
2022 J jnl
Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing.
CoRR
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno
2022 J jnl
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach.
CoRR
Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno
2020 J jnl
Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime.
IEEE Trans. Instrum. Meas.
Nicolas Baumann, Michael Ganz, Michele Magno
2019 B conf
Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime.
SAS
Tim Fischer, Michael Ganz, Nicolas Baumann, Michele Magno