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Michele Magno

.Project Based Learning Center, ETH Zürich, Switzerland

A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications

May 22, 2023
Jonas Kühne, Michele Magno, Luca Benini

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* Accepted by IWASI 2023

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Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation

May 22, 2023
Jonas Kühne, Michele Magno, Luca Benini

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* Accepted by ISCAS 2022

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

Sep 09, 2022
Jonathan Becker, Nadine Imholz, Luca Schwarzenbach, Edoardo Ghignone, Nicolas Baumann, Michele Magno

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* 6 pages, 6 figures, 1 table

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Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs

Aug 26, 2022
Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

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

May 19, 2022
Edoardo Ghignone, Nicolas Baumann, Mike Boss, Michele Magno

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* 6 pages, 4 figures, 3 tables, ICRA, OPPORTUNITIES AND CHALLENGES WITH AUTONOMOUS RACING, IEEE

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