单片机与嵌入式系统应用2025，Vol.25Issue(10)：66-74,9.DOI:10.20193/j.ices2097-4191.2025.0053
基于FPGA的无人机车辆检测系统设计
Design of vehicle detection system for UAVs based on FPGA
摘要
Abstract
To address the challenges of size constraints,energy efficiency,and complex background environments in real-time vehicle de-tection for micro unmanned aerial vehicles(UAVs),this paper proposes a low-cost solution based on Field-Programmable Gate Arrays(FPGA)that integrates a Position-Weighted Gradient Histogram(PWGH)with Support Vector Machines(SVM).The method ex-tends the traditional 9-bin Histogram of Oriented Gradients(HOG)into a 9×2 composite histogram to enhance feature discrimination.Evaluated on the UAV_ROD dataset,the approach achieves an 8.4％improvement in accuracy.Implemented on the Zynq7020-mini platform,it processes at 50 frames per second with a power consumption of only 2.3 W.The experimental results validate the scheme's advantages in accuracy,processing speed,low power consumption,and miniaturization,demonstrating significant potential for practical en-gineering applications in UAV-based real-time vehicle detection.关键词
微小型无人机/车辆检测/FPGA/PWGH/SVM/Zynq7020Key words
micro unmanned aerial vehicles/vehicle detection/FPGA/PWGH/SVM/Zynq7020分类
信息技术与安全科学引用本文复制引用
杨志强,刘凤丽,郝永平,杨丽圆,丁瑞书..基于FPGA的无人机车辆检测系统设计[J].单片机与嵌入式系统应用,2025,25(10):66-74,9.基金项目
辽宁省教育厅科学研究资助项目(LJ2019007) （LJ2019007）
