Journal
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Volume 59, Issue 2, Pages 103-125Publisher
SPRINGER
DOI: 10.1007/s10846-009-9391-1
Keywords
Driver's drowsiness; Neural networks; Support vector machine; Gabor filter; Artificial intelligence; ADAS; Computer vision
Funding
- Spanish Government through CICYT [TRA2007-67786-C02-02, TRA2007-67374-C02-01]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
