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Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml / Ghielmetti, Nicolò (CERN ; Milan, Polytech.) ; Loncar, Vladimir (CERN ; Belgrade, Inst. Phys.) ; Pierini, Maurizio (CERN) ; Roed, Marcel (CERN ; Oxford U.) ; Summers, Sioni (CERN) ; Aarrestad, Thea (Zurich, ETH) ; Petersson, Christoffer (Zurich, ETH) ; Linander, Hampus (U. Gothenburg (main)) ; Ngadiuba, Jennifer (Fermilab) ; Lin, Kelvin (Washington U., Seattle) et al.
In this paper, we investigate how field programmable gate arrays can serve as hardware accelerators for real-time semantic segmentation tasks relevant for autonomous driving. Considering compressed versions of the ENet convolutional neural network architecture, we demonstrate a fully-on-chip deployment with a latency of 4.9 ms per image, using less than 30% of the available resources on a Xilinx ZCU102 evaluation board. [...]
arXiv:2205.07690; FERMILAB-PUB-22-435-PPD.- 2022-11-04 - 11 p. - Published in : Mach. Learn. Sci. Tech. 3 (2022) 045011 Fulltext: 2205.07690 - PDF; Publication - PDF; f2d50a583ff4bb97db9c9fa1e30b704c - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

Record dettagliato

Convolutional Layer Implementations in High-Level Synthesis for FPGAs / Lin, Kelvin
Field programmable gate arrays (FPGAs) offer a flexible hardware platform on which machine learning algorithms can be efficiently implemented [...]
CERN-THESIS-2021-098 - 41.

Record dettagliato

Vedi anche: autori con nomi simili
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2	Lin, K -Y
1	Lin, K C
2	Lin, K H
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753	Lin, Kuan-Yu
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