Nicolas Baumann

According to our database, Nicolas Baumann authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow.

Liam Boyle, Jonas Kühne, Nicolas Baumann, Niklas Bastuck, Michele Magno

IEEE Robotics Autom. Lett., July, 2025

M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing.

Nadine Imholz, Maurice Brunner, Nicolas Baumann, Edoardo Ghignone, Michele Magno

CoRR, June, 2025

R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing.

Maurice Brunner, Edoardo Ghignone, Nicolas Baumann, Michele Magno

CoRR, June, 2025

DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing.

Luca Tognoni, Neil Reichlin, Edoardo Ghignone, Nicolas Baumann, Steven Marty, Liam Boyle, Michele Magno

CoRR, May, 2025

Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing.

Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Andrea Carron, Michele Magno

CoRR, May, 2025

RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning.

Liam Boyle, Nicolas Baumann, Paviththiren Sivasothilingam, Michele Magno, Luca Benini

CoRR, May, 2025

Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models.

Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam, Haotong Qin, Lei Xie, Michele Magno, Luca Benini

CoRR, April, 2025

TinyCenterSpeed: Efficient Center-Based Object Detection for Autonomous Racing.

Neil Reichlin, Nicolas Baumann, Edoardo Ghignone, Michele Magno

CoRR, April, 2025

GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR.

Yangyang Xie, Cheng Hu, Nicolas Baumann, Edoardo Ghignone, Michele Magno, Lei Xie

CoRR, March, 2025

FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competitions.

Cheng Hu, Jihao Huang, Wule Mao, Yonghao Fu, Xuemin Chi, Haotong Qin, Nicolas Baumann, Zhitao Liu, Michele Magno, Lei Xie

CoRR, March, 2025

Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.

Onur Dikici, Edoardo Ghignone, Cheng Hu, Nicolas Baumann, Lei Xie, Andrea Carron, Michele Magno, Matteo Corno

IEEE Robotics Autom. Lett., February, 2025

Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.

Nicolas Baumann, Edoardo Ghignone, Cheng Hu, Benedict Hildisch, Tino Hämmerle, Alessandro Bettoni, Andrea Carron, Lei Xie, Michele Magno

IEEE Robotics Autom. Lett., February, 2025

RLPP: A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms.

Edoardo Ghignone, Nicolas Baumann, Cheng Hu, Jonathan Wang, Lei Xie, Andrea Carron, Michele Magno

CoRR, January, 2025

2024

DSORT-MCU: Detecting Small Objects in Real-Time on Microcontroller Units.

Liam Boyle, Julian Moosmann, Nicolas Baumann, Seonyeong Heo, Michele Magno

CoRR, 2024

ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.

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

CoRR, 2024

CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking.

Nicolas Baumann, Michael Baumgartner, Edoardo Ghignone, Jonas Kühne, Tobias Fischer, Yung-Hsu Yang, Marc Pollefeys, Michele Magno

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Robustness Evaluation of Localization Techniques for Autonomous Racing.

Tian Yi Lim, Edoardo Ghignone, Nicolas Baumann, Michele Magno

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

TC-Driver: A Trajectory Conditioned Reinforcement Learning Approach to Zero-Shot Autonomous Racing.

Edoardo Ghignone, Nicolas Baumann, Michele Magno

Field Robotics, January, 2023

Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.

Michael Lötscher, Nicolas Baumann, Edoardo Ghignone, Andrea Ronco, Michele Magno

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

A Robust and Real-Time Hyper-Spectral Sensor-Fusion Model for Concrete Crack Segmentation.

Matthias Steiner, Nicolas Baumann, Luzian Lebovitz, Michele Magno

Proceedings of the IEEE Sensors Applications Symposium, 2023

Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.

Andrea Ronco, Nicolas Baumann, Marco Giordano, Michele Magno

Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.

Liam Boyle, Nicolas Baumann, Seonyeong Heo, Michele Magno

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

Model- and Acceleration-based Pursuit Controller for High-Performance Autonomous Racing.

Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture.

Seonyeong Heo, Nicolas Baumann, Carla Margelisch, Marco Giordano, Michele Magno

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022

Design and Performance Evaluation of an Ultralow-Power Smart IoT Device With Embedded TinyML for Asset Activity Monitoring.

Marco Giordano, Nicolas Baumann, Michele Crabolu, Raphael Fischer, Giovanni Bellusci, Michele Magno

IEEE Trans. Instrum. Meas., 2022

TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach.

Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno

CoRR, 2022

2020

Piepser 2.0: A Self-Sustaining Smartwatch to Maximize the Paragliders Flytime.

Nicolas Baumann, Michael Ganz, Michele Magno

IEEE Trans. Instrum. Meas., 2020

2019

Piepser: A Smart Wrist-Worn Variometer To Maximize The Paragliders Flytime.

Tim Fischer, Michael Ganz, Nicolas Baumann, Michele Magno

Proceedings of the IEEE Sensors Applications Symposium, 2019