posted on 2018-07-17, 09:53authored byPinar Boyraz
The majority of road accidents can be prevented by passive and active safety
designs and systems present in today's modem passenger car and by road
infrastructure improvements. However, large part of the accident risk depends on
the driver status and vigilance, no matter how well the car is equipped and how
safe the roads are. It is believed that an underestimated 20% of accidents are due
to lack of sleep, inattentiveness and lack of vigilance, which can be summarized
under impaired driving.
In this study, a driver vigilance monitoring system is developed and its
performance is tested applying signal processing, computer vision, and artificial
intelligence state-of-the-art methods. [Continues.]
Funding
Loughborough University, Mechanical Engineering Department (studentship).
History
School
Mechanical, Electrical and Manufacturing Engineering
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2007
Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.