Edoardo Ghignone
Institute for Biomedical Engineering, Richard Wolf (Germany), ETH Zurich
Papers
3
Total Citations
29
H-Index
3
About
Edoardo Ghignone is a rising star in autonomous systems, specializing in high-speed robotics, autonomous racing, and sensor perception for self-driving vehicles. His work bridges the gap between theoretical control algorithms and real-world deployment on commercial hardware. Ghignone’s most notable contribution is the **ForzaETH Race Stack**, a full-stack autonomous racing system designed for fully commercial off-the-shelf hardware, which has already garnered **19 citations** since its 2024 publication. This work demonstrates that competitive head-to-head racing—traditionally reliant on custom, expensive platforms—can be achieved with accessible, scalable components, pushing the boundaries of real-time decision-making under extreme dynamics. He further advanced this domain with **Predictive Spliner**, a data-driven overtaking planner that uses Gaussian Process regression to anticipate opponent trajectories, enabling safer and more aggressive maneuvers. Beyond racing, Ghignone has critically assessed sensor robustness in autonomous vehicles, co-authoring an experimental study on how **LiDAR, radar, and depth cameras** perform against ill-reflecting surfaces—a key safety concern for real-world driving. His research is already influencing both academic benchmarks and practical system design, marking him as a key contributor to the next generation of autonomous racing and perception systems.
Research Focus
Key Achievements
Top Papers
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