Sökning: "Xilinx Zynq UltraScale"

Hittade 5 uppsatser innehållade orden Xilinx Zynq UltraScale.

1. 1. Modeling, Simulation, and Injection of Camera Images/Video to Automotive Embedded ECU : Image Injection Solution for Hardware-in-the-Loop Testing

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Anton Lind; [2023]
   Nyckelord :ADAS; AD; ADS; HIL; Hardware in the loop; Hardware-in-the-loop; ECU; VCU; Automotive; Embedded; System; Systems; Camera; Image; Video; Injection; FPGA; MPSoC; Vivado; Vitis; VHDL; Volvo; Cars; FMC; HPC; LPC; MIPI CSI2; GMSL2; AMBA AXI4; Xilinx; RTL; Implementation; Synthesis; Intelectual Property; IP; Vehicle computing unit; Electronic control unit; TEB0911; TEF0007; TEF0010; CSI2 Tx; CSI2 Tx Subsystem; Zynq; SerDes; AXI4; AXI4-Lite; Programmable Logic; PL; Processor System; PS; C; C ; Video test pattern generator; VTPG; Axi traffic generator; ATG; Ultrascale ; Virtual input output; VIO; Integrated logic analyzer; ILA; Interface Unit;

   Sammanfattning : Testing, verification and validation of sensors, components and systems is vital in the early-stage development of new cars with computer-in-the-car architecture. This can be done with the help of the existing technique, hardware-in-the-loop (HIL) testing which, in the close loop testing case, consists of four main parts: Real-Time Simulation Platform, Sensor Simulation PC, Interface Unit (IU), and unit under test which is, for instance, a Vehicle Computing Unit (VCU). LÄS MER

3. 2. Portning av ett Linuxbaserat system

   Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

   Författare :Anton Johansson; Kalle Stenzelius; [2022]
   Nyckelord :yocto; linux; petalinux; xilinx; embedded system; zcu102; ultrascale; ultrascale ; zynq; yocto; linux; petalinux; xilinx; inbyggt system; zcu102; ultrascale; ultrascale ; zynq;

   Sammanfattning : The project is about embedded systems in self-driving vehicles which is a growing andcurrent area. This is important as the automation of vehicles can make different sectorssuch as the mining and logistics industry more effective. LÄS MER

4. 3. Implementation of a Deep Learning Inference Accelerator on the FPGA.

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Shenbagaraman Ramakrishnan; [2020]
   Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

   Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER

5. 4. Evaluation of high-level synthesis tools for generation of Verilog code from MATLAB based environments

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Carl Bäck; [2020]
   Nyckelord :HLS; System Generator for DSP; Histogram; Xilinx Zynq UltraScale ; FPGA design workflow; Hardware Description Language Coder; HDL Coder; Field Programmable Gate Arrays; Image processing;

   Sammanfattning : FPGAs are of interest in the signal processing domain as they provide the opportunity to run algorithms at very high speed. One possible use case is to sort incoming data in a measurement system, using e.g. a histogram method. LÄS MER

7. 5. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datorteknik

   Författare :Martin Reiche Myrgård; [2019]
   Nyckelord :Neurala nätverk; MPSoC; FPGA; DCNN;

   Sammanfattning : In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluated. The thesis’ starting point was a previousthesis which evaluated possible deep learning models and frameworks for object detection on infra-red images conducted in the spring of 2018. LÄS MER