Edoardo Ghignone

29 papers A* 2A 3C 1Journal 20Unranked 3
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
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
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
Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input.
CoRR
Yonghao Fu, Cheng Hu, Haokun Xiong, Zhangpeng Bao, Wenyuan Du, Edoardo Ghignone, Michele Magno, Lei Xie, Hongye Su
2025 — conf
Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small on-Track Data Input.
ITSC
Yonghao Fu, Cheng Hu, Haokun Xiong, Zhangpeng Bao, Wenyuan Du, Edoardo Ghignone, Michele Magno, Lei Xie, Hongye Su
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
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 — 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 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
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