Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation. - Jonas Kühne; Michele Magno; Luca Benini (ISCAS, 2022)

A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications. - Jonas Kühne; Michele Magno; Luca Benini (IWASI, 2023)

Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. - Jakub Mandula; Jonas Kühne; Luca Pascarella; Michele Magno (I2MTC, 2024)

CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking. - Nicolas Baumann; Michael Baumgartner; Edoardo Ghignone; Jonas Kühne; Tobias Fischer 004; Yung-Hsu Yang; Marc Pollefeys; Michele Magno (IROS, 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 002; et al. (CoRR, 2024)

Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs. - Jonas Kühne; Michele Magno; Luca Benini (CoRR, 2024)

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., 2025)