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Jonas Kühne
Jonas Kühne
Doctoral Candidate, ETH Zürich
Verified email at ethz.ch
Title
Cited by
Cited by
Year
Parallelizing optical flow estimation on an ultra-low power risc-v cluster for nano-uav navigation
J Kühne, M Magno, L Benini
2022 IEEE International Symposium on Circuits and Systems (ISCAS), 301-305, 2022
22022
A Fast and Accurate Optical Flow Camera for Resource-Constrained Edge Applications
J Kühne, M Magno, L Benini
2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI …, 2023
12023
CR3DT: Camera-RADAR Fusion for 3D Detection and Tracking
N Baumann, M Baumgartner, E Ghignone, J Kühne, T Fischer, YH Yang, ...
arXiv preprint arXiv:2403.15313, 2024
2024
ForzaETH Race Stack-Scaled Autonomous Head-to-Head Racing on Fully Commercial off-the-Shelf Hardware
N Baumann, E Ghignone, J Kühne, N Bastuck, J Becker, N Imholz, ...
arXiv preprint arXiv:2403.11784, 2024
2024
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
J Mandula, J Kühne, L Pascarella, M Magno
arXiv preprint arXiv:2403.11875, 2024
2024
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Articles 1–5