Self-driving Model Car Based on Xilinx KV260 and Convolutional Neural Network

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Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (10) : 3-6.

TECHNOLOGY TOPIC

Self-driving Model Car Based on Xilinx KV260 and Convolutional Neural Network

Guo Chuanhong, Wang Yankui, Bi Sheng, Dong Min

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Abstract

SoCs with embedded FPGA have a unique property in edge AI applications.Its neural network inferencing accelerator is implemented with soft IP cores on the FPGA side and can be upgraded during the product lifecycle,and its FPGA resources can be used to implement other application-specific hardware accelerators.This paper uses Xilinx KV260 development board and Vitis AI tool chain to realize hardware accelerated neural network reasoning based on demonstration learning automatic driving car system on SoC of FPGA.

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edge AI / FPGA / Xilinx KV260

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Guo Chuanhong, Wang Yankui, Bi Sheng, Dong Min. Self-driving Model Car Based on Xilinx KV260 and Convolutional Neural Network[J]. Integrated Circuits and Embedded Systems. 2022, 22(10): 3-6

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