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多特征结合的疲劳驾驶检测方案设计与FPGA验证

林粤伟 宋丹 张涛

无线电工程2026,Vol.56Issue(2):242-252,11.
无线电工程2026,Vol.56Issue(2):242-252,11.DOI:10.3969/j.issn.1003-3106.2026.02.006

多特征结合的疲劳驾驶检测方案设计与FPGA验证

Design and FPGA Verification of Fatigue Driving Detection Scheme Based on Multi-feature Combination

林粤伟 1宋丹 2张涛1

作者信息

  • 1. 青岛科技大学信息科学技术学院,山东 青岛 266061
  • 2. 海信视像科技股份有限公司,山东 青岛 266500
  • 折叠

摘要

Abstract

With the rapid development of the social economy,people's demand for travel and reliance on vehicles continue to grow,leading to an increasing volume of road traffic.This has given rise to various traffic problems,making driving safety increasingly critical.In view of this,targeting the scenario of fatigue driving detection for internet of vehicles within internet of things,computer vision technology is used,and based on facial features obtained from facial detection and head features provided by head pose estimation,a software and hardware collaborative fatigue driving detection scheme that combines multiple fatigue features is investigated and designed,which effectively reduces the false alarm rate.The proposed scheme is ultimately verified on Field Programmable Gate Array(FPGA),and the detection accuracy reaches approximately 96%,with hardware test results confirming its effectiveness and feasibility.

关键词

现场可编程门阵列/疲劳驾驶检测/计算机视觉/软硬件协同/物联网

Key words

FPGA/fatigue driving detection/computer vision/software and hardware collaboration/internet of things

分类

信息技术与安全科学

引用本文复制引用

林粤伟,宋丹,张涛..多特征结合的疲劳驾驶检测方案设计与FPGA验证[J].无线电工程,2026,56(2):242-252,11.

无线电工程

1003-3106

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