基于Android系统的司机驾驶安全监测系统的实现
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TN911.73

基金项目:

国家自然科学基金(51675265)、机械结构力学及控制国家重点实验室自主研究课题(0515K01)、江苏省高校优势学科建设工程项目(PAPD)资助


Implementation of driver driving safety monitoring system based on Android system
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    近年来,交通事故频频发生,疲劳驾驶作为交通事故的主要原因之一,造成了巨大的人员伤亡和财产损失。针对疲劳驾驶问题,本文设计并且实现一套基于Android系统的司机驾驶安全监测系统。该系统由搭载Android系统的智能车载仪和外接摄像头组成。首先通过外接的Android摄像头获取司机驾驶过程中的脸部视频,然后通过SeetaFace人脸识别引擎系统和两级级联MobileNet-V2训练的模型,实现对人脸的检测和面部关键点的坐标提取。最后利用基于人脸关键点的疲劳算法,实现对司机疲劳的实时监测。在模拟驾驶室的情况下进行实验,实验结果表明,该系统对光照明暗、是否戴眼镜等有较好的鲁棒性,可以在很大程度上,减少事故的发生率,保证驾驶员的驾驶安全。

    Abstract:

    In recent years, traffic accidents have occurred frequently, and fatigue driving has been one of the main causes of traffic accidents, causing huge casualties and property losses. Aiming at the problem of fatigue driving, this paper designs and implements a driver driving safety monitoring system based on Android system. The system consists of a smart car instrument with an Android system and an external camera. Firstly, the facial video of the driver during driving is obtained through the external Android camera. Through the SeetaFace face recognition engine system and the two-level cascading MobileNet-V2 training model, the face detection and facial key point coordinate extraction are realized. Finally, the fatigue algorithm based on face key points is used to realize real-time monitoring of driver fatigue. Experiments were carried out in the case of a simulated cab. The experimental results show that the system is robust to light illumination and glasses, and can greatly reduce the incidence of accidents and ensure driver′s driving. Safety.

    参考文献
    相似文献
    引证文献
引用本文

汪旭,陈仁文,黄斌.基于Android系统的司机驾驶安全监测系统的实现[J].电子测量技术,2019,42(8):56-60

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-08-16
  • 出版日期: