سال انتشار: ۱۳۹۱

محل انتشار: پانزدهمین کنفرانس دانشجویی مهندسی برق ایران

تعداد صفحات: ۴

نویسنده(ها):

Tahereh Koohi – CE Department, Mashhad Branch, Islamic Azad University (IAU) Mashhad, Iran
Fatemeh K. Dehkordi – Physics Department, Ferdowsi University of Mashhad, Mashhad, Iran
Ali Izadi-Pour – EE Department, Ferdowsi University of Mashhad, Mashhad, Iran
Mehdi N. Fesharaki – CE Department, Science & Research Branch, Islamic Azad University (IAU), Tehran, Iran

چکیده:

This Article presents a Surveillance Multi-Agent System (S-MAS) architecture which focuses on the fusion of data from multi sensors for enhanced automotive safety andtraffic efficiency. In S-MAS tools will be introduced as autonomous agents for implementing a multi-sensor data fusionat architectural level: surveillance–sensor agents, a fusion agent, interface agents, record agents, planning agents, etc. They differ in their ability to carry out a specific surveillancetask. A surveillance–sensor agent controls and manages individual sensors. In this work we focus on the fusion agent,addressing specific problems of on-line sensor alignment, registration, bias removal and data fusion. We show how the inclusion of this fusion agent guarantees that objects of interest are successfully tracked across the whole area.