Design and Implementation of Autonomous Driving Robot Car Using SoC FPGA

A. Kojima, Yuya Osawa
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引用次数: 2

Abstract

In this paper, we describe the design and implementation of our autonomous driving robot car for FPT'19 FPGA design contest. The controller of our robot car is implemented on Avnet Ultra96 board using Xilinx UltraScale+ MPSoC, which includes ARM processor and programmable logic. Its object detection uses neural network hardware on programmable logic. On the other hand, its lane-keeping and navigation are implemented as software which uses the processor part.
基于SoC FPGA的自动驾驶机器人汽车设计与实现
在本文中,我们描述了我们的自动驾驶机器人汽车的设计和实现,用于FPT'19 FPGA设计竞赛。我们的机器人汽车控制器采用Xilinx UltraScale+ MPSoC,采用ARM处理器和可编程逻辑,在Avnet Ultra96板上实现。它的目标检测采用可编程逻辑上的神经网络硬件。另一方面,利用处理器部分,以软件的形式实现车道保持和导航。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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