红外与毫米波学报2022，Vol.41Issue(5)：914-922,9.DOI:10.11972/j.issn.1001-9014.2022.05.016
一种用于红外目标检测的高效流水线式FPGA加速器
An ultra-efficient streaming-based FPGA accelerator for infrared target detection
摘要
Abstract
Object detection algorithm based on deep learning has achieved great success,significantly better than the effect of traditional algorithms,and even surpassed human in many scenarios. Unlike RGB cameras,infrared cameras can see objects even in the dark,which can be used in many fields like surveillance and autonomous driv? ing. In this paper,a lightweight target detection algorithm for embedded devices is proposed,which is accelerat? ed and deployed using Xilinx Ultrascale+MPSoC FPGA ZU3EG. The accelerator runs at a 350 MHz frequency clock with throughput of 551 FPS and power of only 8. 4 W. The intersection over union(IoU)of the algorithm achieves an accuracy of 73. 6％on FILR datasets. Comparing with the previous work,the accelerator design im? proves performance by 2. 59× and reduces 49. 02％of the power consumption.关键词
红外图像处理/实时嵌入式系统/可编程逻辑器件/卷积神经网络Key words
infrared imaging/embedded software/real-time systems/Field Programmable Gate Array (FPGA)/convolutional neural network分类
信息技术与安全科学引用本文复制引用
陈少毅,汤心溢,王健,黄静思,李争..一种用于红外目标检测的高效流水线式FPGA加速器[J].红外与毫米波学报,2022,41(5):914-922,9.基金项目
Supported by the National Pre-Research Foundation of China during the"14th Five-Year Plan"(514010405-207) （514010405-207）
