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Hardware Acceleration of Traffic Hand Sign Commands based on CNN

Background†

Self-driving cars have drawn a lot of attention in recent years, and with help of machine learning, have advanced rapidly. Self-driving cars will have to consistently carryout all driving functions without human assistance. Traffic Hand Sign Command Recognition requires fast execution speed.

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Research Goal†

The goal of my research is to optimize and accelerate in hardware the Japanese Traffic Hand Sign Command Recognition.

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Research Schedule†

DateTask
June 1 - June 31, 2020Read papers, Make an environment to execute programs
July 1 - July 31, 2020Learn about FPGA acceleration
July 1 - September 31, 2020Design a system for FPGA of CNN
September 1 - October 31, 2020Evaluate the performance of FPGA operation
October 1 - November 31, 2020Write paper
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Research Progress†

RPS: fileRPS1-0629.pdf

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References†

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