An FPGA-Based Image Recognition with Remote Update Functions for Autonomous Driving on “ad-refkit”

Hyuga Hashimoto, Ryoko Naka, Yasutaka Wada
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Abstract

This paper explains the ongoing development of an FPGA-based image recognition system for an autonomous driving robot car for the FPT'21 Design Competition. We are developing an FPGA-based image recognition on “ad-refkit” equipped with a Zybo-Z7 board to realize two main functionalities: 1) to provide recognition results in the actual environment of the contest through the Internet and 2) to be updated remotely based on the results. With these functionalities, we can realize high-performance and low-power systems using an FPGA.
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基于fpga的“ad-refkit”自动驾驶图像识别与远程更新
本文介绍了正在进行的基于fpga的图像识别系统的开发,该系统用于FPT'21设计竞赛的自动驾驶机器人汽车。我们正在开发一种基于fpga的图像识别系统,该系统在“ad-refkit”上安装了Zybo-Z7板,主要实现两个功能:1)通过互联网在实际比赛环境中提供识别结果,2)根据结果远程更新。利用这些功能,我们可以使用FPGA实现高性能和低功耗的系统。
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