现代电子技术2024，Vol.47Issue(1)：147-152,6.DOI:10.16652/j.issn.1004-373x.2024.01.026
汽车智能驾舱驾驶疲劳检测系统设计
Design of driving fatigue detection system for intelligent cockpit of automobile
摘要
Abstract
Fatigue driving is considered one of the main factors affecting traffic safety.The current detection methods for fatigue driving generally have drawbacks,such as large volume of detection equipment,strong invasiveness and poor real-time performance.The driving fatigue detection system designed in this article is based on FPGA.The face segmentation algorithm YCbCr is improved by the aspect ratio of the region,so as to improve the recognition of faces in the driving environment.Then,a human eye tracking model based on dynamic videos is established to locate the eyes within the range of faces.The three-frame difference algorithm is used for blink detection,and the blink rate is used as the evaluation index to monitor the driver's state in real time.The real-time image data processing and driving fatigue detection is completed with FPGA chips.The experiments have shown that the designed system can detect fatigue in dim light and when the drivers wear glasses.Moreover,the detection system can fully utilize the advantages of FPGA chip data parallel processing,and has the characteristics of small size,high speed,high integration and can work when powered on,so it is conducive to the deployment in narrow cockpit.Therefore,it has a certain engineering application value.关键词
疲劳驾驶检测/人脸识别/机器视觉/眨眼率/帧差法/FPGAKey words
driving fatigue detection/face recognition/machine vision/blink rate/frame difference/FPGA分类
信息技术与安全科学引用本文复制引用
柏俊波,周涛琪,柏俊杰..汽车智能驾舱驾驶疲劳检测系统设计[J].现代电子技术,2024,47(1):147-152,6.基金项目
重庆市自然科学基金项目(cstc2020jcyj-msxmX0452) （cstc2020jcyj-msxmX0452）
教育部产学研创新基金(2020HYA06001) （2020HYA06001）
