摘要
基于FPGA的疲劳驾驶检测系统设计是信息对抗技术专业方向设计的特色实验教学案例,该系统的设计要求学生使用Verilog语言,在Quartus Ⅱ环境下通过调用内部IP核实现有效图像数据提取、图像解码、灰度提取、PERCLOS检测算法、SD存储、VGA显示、报警等功能。通过对AC620平台的研究和开发,集成了图像采集、数据存储、算法处理、显示和报警等FPGA功能。本实验旨在设计和实现大型数字化系统,以提高学生的创新思维和综合能力为目标。通过实验,学生能够得到并行编程思想和串行编程思想的交互性工程训练,提升自顶向下的系统顶层设计能力,掌握行业最新的FPGA技术与人工智能相关应用案例,在跨学科知识融合和跨平台设计中得到创新实践能力的培养。
The design of the fatigue driving detection system based on FPGA is a characteristic experimental teaching case of information countermeasure technology major.The design of this system requires students to use Verilog language to realize effective image data extraction,image decoding,grayscale extraction,PERCLOS detection algorithm,SD storage,VGA display,alarm and other functions by calling internal IP core in Quartus Ⅱ environment.Through the research and development of AC620 platform,FPGA functions such as image acquisition,data storage,algorithm processing,display and alarm are integrated.The purpose of this experiment is to design and implement a large-scale digital system to cultivate students’sense of innovation and comprehensive quality.through experiments,students can get the interactive engineering training of parallel programming idea and serial programming idea,improve the top-down system top-level design ability,master the latest FPGA technology and artificial intelligence related application cases in the industry,and get the cultivation of innovation and practice ability in interdisciplinary knowledge fusion and cross platform design.
作者
杨超
杜正聪
印茂伟
董加强
芮志聪
须永朋
赫培峥
YANG Chao;DU Zhengcong;YIN Maowei;DONG Jiaqiang;RUI Zhicong;XU Yongpeng;HE Peizheng(School of Electrical and Engineering,Luzhou Vocational and Technical College,Luzhou 646000,China;School of Information Technology,Xichang University,Xichang 615000,China;School of National Defense Science and Technology,Southwest University of Science and Technology,Mianyang 621010,China)
出处
《实验科学与技术》
2022年第5期1-6,共6页
Experiment Science and Technology
基金
全国高等院校计算机基础教育研究会计算机基础教育教学研究项目(2021-AFCEC-477)
全国高等院校计算机基础教育研究会计算机基础教育教学研究项目(2022-AFCEC-573)
四川省2021—2023年高等教育人才培养质量和教学改革项目(JG2021-891)。
