The increasing technological inventions like cellular phones and GPS devices, we observe increasing number of distractions to divert the driver’s attention. This distraction has led to increasing number of accidents on road, which brings a need of a Drowsiness Detection System that calculates various eye parameters to help the driver stay alert. This type of system brings about alertness and ac...

Text messaging while driving can be distracting and significantly increases the risk of being involved in a collision. Compared to freeway driving, driving in a tunnel environment introduces factors that may interact with driver attentional resources to exacerbate the effects of distraction on driving safety. With planning and design of the 18km Stockholm Bypass tunnel ongoing, and because of t...

The purpose of this paper is to develop a driver drowsiness and monitoring system that could act as an assistant the during driving process. aimed at reducing fatal crashes caused by driver’s distraction. For drowsiness, operates analysing eye blinks yawn frequency while for distraction, works based on head pose estimation tracking. alarm will be triggered if any these conditions occur. Main pa...

Driver distraction and drowsiness remain significant contributors to death serious injury on our roads are long standing issues in road safety strategies around the world. With developments automotive technology, including driver monitoring, there now more options available for manufactures mitigate risks associated with state. Such Occupant Status Monitoring (OSM) being incorporated into Europ...

Increasing efforts in the transportation system have recently improved driver safety and reduced crash rates. Lack of attention fatigue directly affect driver's consciousness. Driver distraction is an essential driver-specific factor practical applicability forward collision warning (FCW). However, there are still too many false alarms generated by existing FCW to be mitigated. This paper propo...