Driver’s fatigue/distraction is one of the most common causes of traffic accidents. The aim of this paper is to develop a real time system to detect anomalous situations while driving. In a learning stage, the user will sit in front of the camera and the system will learn a person-specific facial appearance model (PSFAM) in an automatic manner. The PSFAM will be used to perform gaze detection a...

The system envisioned is an automatic collision detection and warning system relying on a GPS module and a GSM modem. The vehicle to be safeguarded is to be fitted with the system sturdily ensuring good mechanical coupling with the entire chassis. In the case of an anticipated accident, the system detects it using the fact that the vehicle would be suddenly decelerated in such a condition. An a...

background: one of the important aspects of hospital preparedness in disasters is its rapid early warning system. in this study, the activation of early warning system was evaluated under the monitoring of disasters workgroup of the ministry of health based on the national program of “hospitals preparedness in disasters” in shahid motahari hospital.  materials and methods: the sample was compos...

This paper tries to answer the following question: What type of support should be given to an automobile driver when it is determined, via some method to monitor the driver’s behavior and the traffic environment, that the driver’s intent may not be appropriate to a traffic condition? With a medium fidelity, moving-base driving simulator, three conditions were compared: (a) Warning type support ...

In the past decade a lot of research has been done on vision based real-time advanced driver safety system (ADAS). Many OEM car manufacturing companies have stressed their research on ADAS so as to increase the vehicle and driver safety. This work is aimed at developing an algorithm for on road lane departure warning (LDW) system. LDW can be successfully used for dropping the on road accidents ...