.png){kind=icon}
返回
Real-Time Warning System for Driver Drowsiness Detection Using Visual Information
.png){kind=icon}
PRE
AI
DOI：10.1007/s10846-009-9391-1.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Traffic accidents due to human errors cause many deaths and injuries around the world. To help in reducing this fatality, in this research, a new module for Advanced Driver Assistance System (ADAS) for automatic driver drowsiness detection based on visual information and Artificial Intelligence is presented. The aim of this system is to locate, to track and to analyze the face and the eyes to compute a drowsiness index, working under varying light conditions and in real time. Examples of different images of drivers taken in a real vehicle are shown to validate the algorithm.
Keyword:
Driver's drowsiness
Neural networks
Support vector machine
Gabor filter
Artificial intelligence
ADAS
Computer vision
期刊
J
IF:
2.8
论文数:
3.9K
被引数:
6.9K
机构
引用论文
.png){kind=icon}
Financial Crisis, SWF Investing, and Implications for Financial Stability金融危机、主权财富基金投资及其对金融稳定的影响
PREAI
分享收藏
查看更多内容