Nicolas Baumann
Orcid: 0000-0001-6591-1321
According to our database1,
Nicolas Baumann
authored at least 17 papers
between 2019 and 2025.
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Bibliography
2025
Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute.
IEEE Robotics Autom. Lett., February, 2025
Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction.
IEEE Robotics Autom. Lett., February, 2025
2024
ForzaETH Race Stack - Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware.
CoRR, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
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.
Field Robotics, January, 2023
Assessing the Robustness of LiDAR, Radar and Depth Cameras Against Ill-Reflecting Surfaces in Autonomous Vehicles: An Experimental Study.
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.
Proceedings of the IEEE Sensors Applications Symposium, 2023
Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Low-cost Smart Raven Deterrent System with Tiny Machine Learning for Smart Agriculture.
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.
IEEE Trans. Instrum. Meas., 2022
TC-Driver: Trajectory Conditioned Driving for Robust Autonomous Racing - A Reinforcement Learning Approach.
CoRR, 2022
2020
IEEE Trans. Instrum. Meas., 2020
2019
Proceedings of the IEEE Sensors Applications Symposium, 2019